Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in Taiwan!

As a Frontend Engineer on the Frontend Engineering team in our Taipei Office, you’ll play a vital role in building the tools that power the future of global advertising. You will architect and shape high-quality, responsive web and AI agent applications used by advertisers worldwide, ensuring an exceptional user experience. By collaborating across engineering teams from inception to production, you will directly influence how global businesses interact with Taboola’s massive recommendation engine.

To thrive in this role, you’ll need:

• 5+ years of experience building responsive, web-based applications using HTML5, CSS3, and modern JavaScript (ES6+).
• Proven expertise utilizing modern frontend frameworks, specifically React JS.
• Strong experience building automated tests using tools like Jest, Playwright, or Jasmine.
• Solid understanding of asynchronous programming, DOM manipulation, core data structures, and standard SCM tools like GIT.
• Working knowledge or previous experience utilizing SQL and relational databases.

Bonus points if you have:

• Experience in API creation, design, and server-side data manipulation using Node JS.
• Hands-on experience developing mobile applications with React Native, building Google Chrome Extensions, or working with Copilotkit.
• Share with us your Hackathon participation, personal projects, and a GitHub profile showcasing your work.

How you’ll make an impact:

• Create and optimize high-quality, responsive frontend JavaScript applications and advanced AI agent solutions.
• Implement visual and interactive features in collaboration with the product team using Node JS, React JS, React Native, and Google Chrome Extensions.
• Develop backend APIs and work with relational databases to fully support and fulfill diverse agent scenarios.
• Write, maintain, and expand automated unit and system tests using Jest, React Test, Playwright, or other frontend testing frameworks.
• Collaborate closely with agile team members using SCRUM processes, ensuring high coding standards and strong alignment with business use cases.
• Own projects alongside cross-functional engineers from early-stage inception all the way through production release and user acceptance.

Why Taboola? If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits, a fully stocked kitchen, and location-specific perks.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential? Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

#LI-MT1

Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in Taiwan!

As a Frontend Engineer on the Frontend Engineering team in our Taipei Office, you’ll play a vital role in building the tools that power the future of global advertising. You will architect and shape high-quality, responsive web and AI agent applications used by advertisers worldwide, ensuring an exceptional user experience. By collaborating across engineering teams from inception to production, you will directly influence how global businesses interact with Taboola’s massive recommendation engine.

To thrive in this role, you’ll need:

• 5+ years of experience building responsive, web-based applications using HTML5, CSS3, and modern JavaScript (ES6+).
• Proven expertise utilizing modern frontend frameworks, specifically React JS.
• Strong experience building automated tests using tools like Jest, Playwright, or Jasmine.
• Solid understanding of asynchronous programming, DOM manipulation, core data structures, and standard SCM tools like GIT.
• Working knowledge or previous experience utilizing SQL and relational databases.

Bonus points if you have:

• Experience in API creation, design, and server-side data manipulation using Node JS.
• Hands-on experience developing mobile applications with React Native, building Google Chrome Extensions, or working with Copilotkit.
• Share with us your Hackathon participation, personal projects, and a GitHub profile showcasing your work.

How you’ll make an impact:

• Create and optimize high-quality, responsive frontend JavaScript applications and advanced AI agent solutions.
• Implement visual and interactive features in collaboration with the product team using Node JS, React JS, React Native, and Google Chrome Extensions.
• Develop backend APIs and work with relational databases to fully support and fulfill diverse agent scenarios.
• Write, maintain, and expand automated unit and system tests using Jest, React Test, Playwright, or other frontend testing frameworks.
• Collaborate closely with agile team members using SCRUM processes, ensuring high coding standards and strong alignment with business use cases.
• Own projects alongside cross-functional engineers from early-stage inception all the way through production release and user acceptance.

Why Taboola? If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits, a fully stocked kitchen, and location-specific perks.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential? Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

#LI-MT1

Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in Taiwan!

As a Frontend Engineer on the Frontend Engineering team in our Taipei Office, you’ll play a vital role in building the tools that power the future of global advertising. You will architect and shape high-quality, responsive web and AI agent applications used by advertisers worldwide, ensuring an exceptional user experience. By collaborating across engineering teams from inception to production, you will directly influence how global businesses interact with Taboola’s massive recommendation engine.

To thrive in this role, you’ll need:

• 5+ years of experience building responsive, web-based applications using HTML5, CSS3, and modern JavaScript (ES6+).
• Proven expertise utilizing modern frontend frameworks, specifically React JS.
• Strong experience building automated tests using tools like Jest, Playwright, or Jasmine.
• Solid understanding of asynchronous programming, DOM manipulation, core data structures, and standard SCM tools like GIT.
• Working knowledge or previous experience utilizing SQL and relational databases.

Bonus points if you have:

• Experience in API creation, design, and server-side data manipulation using Node JS.
• Hands-on experience developing mobile applications with React Native, building Google Chrome Extensions, or working with Copilotkit.
• Share with us your Hackathon participation, personal projects, and a GitHub profile showcasing your work.

How you’ll make an impact:

• Create and optimize high-quality, responsive frontend JavaScript applications and advanced AI agent solutions.
• Implement visual and interactive features in collaboration with the product team using Node JS, React JS, React Native, and Google Chrome Extensions.
• Develop backend APIs and work with relational databases to fully support and fulfill diverse agent scenarios.
• Write, maintain, and expand automated unit and system tests using Jest, React Test, Playwright, or other frontend testing frameworks.
• Collaborate closely with agile team members using SCRUM processes, ensuring high coding standards and strong alignment with business use cases.
• Own projects alongside cross-functional engineers from early-stage inception all the way through production release and user acceptance.

Why Taboola? If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits, a fully stocked kitchen, and location-specific perks.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential? Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

#LI-MT1

About Agile Defense

At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.

Our vision is to bring adaptive innovation to support our nation’s most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests.

Requisition #: 1656

Job Title: Platform Engineer II

Location: McLean, VA

Job Description

We are seeking a hands-on Platform Engineer II to own and operate our internal lab and demo environments. This role supports a hybrid platform ecosystem spanning on-prem lab infrastructure, virtualization, cloud services, Kubernetes/containerized workloads, CI/CD tooling, artifact repositories, automation, and developer enablement.

The Platform Engineer II will help maintain environment readiness, improve deployment consistency, support development teams with repeatable deployment patterns, and ensure customer demos, product experiments, prototypes, training, and onboarding environments are reliable and well documented.

This is a practical, hands-on platform engineering role for someone who can troubleshoot across the stack, automate repeatable work, document operational procedures, and help bring structure to a fast-moving lab environment.

Ideal Candidate

The ideal candidate is a self-starter who is comfortable operating in a fast-moving environment. You do not need to be a senior architect, but you should be able to troubleshoot independently, ask good questions, document what you learn, and help improve the way environments are built and maintained.

You should be comfortable working across multiple areas of the platform stack and willing to jump into whatever the lab environment needs, whether that is fixing a deployment, debugging ingress, improving a Jenkins or GitHub Actions workflow, troubleshooting a virtual machine, writing a validation script, updating documentation, or helping a development team standardize how an application is deployed.

Responsibilities

• Own day-to-day operations, readiness, and reliability of lab and demo environments.

• Maintain and support Kubernetes and containerized application deployments.

• Support on-prem lab infrastructure, virtualization platforms, virtual machines, and related network/storage dependencies.

• Support development teams by creating reusable deployment patterns, templates, documentation, and runbooks.

• Build, maintain, and improve CI/CD workflows using tools such as Jenkins and GitHub Actions.

• Troubleshoot issues across Linux systems, virtual machines, containers, Kubernetes resources, networking, DNS, TLS, ingress, and application runtime environments.

• Manage and support artifact repository workflows using tools such as Nexus or Artifactory.

• Maintain deployment documentation, environment standards, operational procedures, and troubleshooting guides.

• Help ensure customer demos, training environments, and prototype deployments are stable, prepared, and repeatable.

• Automate environment setup, validation checks, deployment steps, and routine operational tasks using Bash, Python, or similar scripting tools.

• Contribute to platform and deployment design discussions by recommending practical improvements and helping turn architecture direction into repeatable implementation patterns.

• Support basic security and compliance activities, including patching, vulnerability remediation, secrets management, TLS/certificate management, RBAC, least privilege, and secure configuration practices.

What Success Looks Like

Within the first six months, success in this role means:

• Lab and demo environments are more stable, better documented, and easier to maintain.

• Development teams can deploy more consistently using standard patterns, templates, and runbooks.

• Customer demos, product experiments, and training environments require less last-minute manual effort and are more reliable.

Education and Background

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent professional experience.

The ideal candidate will have experience in platform engineering, DevOps, systems engineering, cloud engineering, infrastructure engineering, or a related technical role. Experience should include hands-on work with Linux systems, containers, CI/CD pipelines, cloud infrastructure concepts, virtualization or on-prem lab environments, networking fundamentals, and deployment automation.

Years of Experience

4–6 years

Required Skills

• 4–6 years of experience in platform engineering, DevOps, systems engineering, cloud engineering, infrastructure engineering, or a related technical role.

• Hands-on Linux administration and troubleshooting experience.

• Experience working with containers and Docker.

• Kubernetes user-level experience, including deploying applications, reviewing pods/logs/events, and working with services, ingress, namespaces, config maps, and basic Helm usage.

• Experience with CI/CD pipelines using Jenkins, GitHub Actions, or similar tools.

• Experience with Infrastructure as Code using Terraform or similar tools.

• Working knowledge of cloud infrastructure concepts, preferably with AWS and/or Azure.

• Experience supporting lab, development, or demo environments using virtualization or on-prem infrastructure.

• Understanding of networking fundamentals, including DNS, TLS, ingress, routing, firewalls, and basic connectivity troubleshooting.

• Experience writing Bash, Python, or similar scripts to automate repeatable platform, deployment, or operational tasks.

• Experience with artifact repositories such as Nexus or Artifactory.

• Ability to work in ambiguous environments, identify practical next steps, and drive tasks to completion.

• Strong attention to detail and commitment to maintaining reliable, documented environments.

Preferred Skills

• Experience with Proxmox, VMware, Hyper-V, or similar virtualization platforms.

• Experience with Ansible or other configuration management tools.

• Experience with Harness or other modern CI/CD platforms.

• Experience with SonarQube or similar code quality/security tooling.

• Experience with Vault or other secrets management platforms.

• Familiarity with container/image scanning, vulnerability management, and secure software delivery practices.

• Basic awareness of CMMC, NIST 800-171, ATO, FedRAMP, STIGs, or federal compliance environments.

• AWS Associate-level certification.

• RHCSA or other Linux certification.

Working Conditions

This role is hybrid, with occasional on-site support required for lab and demo environment activities. Work will primarily involve computer-based engineering tasks, including platform operations, troubleshooting, documentation, CI/CD support, automation, and collaboration with development teams.

The role may occasionally require support for customer demos, training environments, prototypes, and internal engineering activities. The position may require limited physical interaction with lab equipment, servers, networking devices, or workstations, including basic setup, cabling, inspection, or troubleshooting. No significant physical labor is expected.

Our Core Values

Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.

What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It’s how we show up every day. It’s who we are.

• Happy- Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
• Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
• Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
• Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
• Hungry- Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
• Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Agile Defense

At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.

Our vision is to bring adaptive innovation to support our nation’s most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests.

Requisition #: 1656

Job Title: Platform Engineer II

Location: McLean, VA

Job Description

We are seeking a hands-on Platform Engineer II to own and operate our internal lab and demo environments. This role supports a hybrid platform ecosystem spanning on-prem lab infrastructure, virtualization, cloud services, Kubernetes/containerized workloads, CI/CD tooling, artifact repositories, automation, and developer enablement.

The Platform Engineer II will help maintain environment readiness, improve deployment consistency, support development teams with repeatable deployment patterns, and ensure customer demos, product experiments, prototypes, training, and onboarding environments are reliable and well documented.

This is a practical, hands-on platform engineering role for someone who can troubleshoot across the stack, automate repeatable work, document operational procedures, and help bring structure to a fast-moving lab environment.

Ideal Candidate

The ideal candidate is a self-starter who is comfortable operating in a fast-moving environment. You do not need to be a senior architect, but you should be able to troubleshoot independently, ask good questions, document what you learn, and help improve the way environments are built and maintained.

You should be comfortable working across multiple areas of the platform stack and willing to jump into whatever the lab environment needs, whether that is fixing a deployment, debugging ingress, improving a Jenkins or GitHub Actions workflow, troubleshooting a virtual machine, writing a validation script, updating documentation, or helping a development team standardize how an application is deployed.

Responsibilities

• Own day-to-day operations, readiness, and reliability of lab and demo environments.

• Maintain and support Kubernetes and containerized application deployments.

• Support on-prem lab infrastructure, virtualization platforms, virtual machines, and related network/storage dependencies.

• Support development teams by creating reusable deployment patterns, templates, documentation, and runbooks.

• Build, maintain, and improve CI/CD workflows using tools such as Jenkins and GitHub Actions.

• Troubleshoot issues across Linux systems, virtual machines, containers, Kubernetes resources, networking, DNS, TLS, ingress, and application runtime environments.

• Manage and support artifact repository workflows using tools such as Nexus or Artifactory.

• Maintain deployment documentation, environment standards, operational procedures, and troubleshooting guides.

• Help ensure customer demos, training environments, and prototype deployments are stable, prepared, and repeatable.

• Automate environment setup, validation checks, deployment steps, and routine operational tasks using Bash, Python, or similar scripting tools.

• Contribute to platform and deployment design discussions by recommending practical improvements and helping turn architecture direction into repeatable implementation patterns.

• Support basic security and compliance activities, including patching, vulnerability remediation, secrets management, TLS/certificate management, RBAC, least privilege, and secure configuration practices.

What Success Looks Like

Within the first six months, success in this role means:

• Lab and demo environments are more stable, better documented, and easier to maintain.

• Development teams can deploy more consistently using standard patterns, templates, and runbooks.

• Customer demos, product experiments, and training environments require less last-minute manual effort and are more reliable.

Education and Background

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent professional experience.

The ideal candidate will have experience in platform engineering, DevOps, systems engineering, cloud engineering, infrastructure engineering, or a related technical role. Experience should include hands-on work with Linux systems, containers, CI/CD pipelines, cloud infrastructure concepts, virtualization or on-prem lab environments, networking fundamentals, and deployment automation.

Years of Experience

4–6 years

Required Skills

• 4–6 years of experience in platform engineering, DevOps, systems engineering, cloud engineering, infrastructure engineering, or a related technical role.

• Hands-on Linux administration and troubleshooting experience.

• Experience working with containers and Docker.

• Kubernetes user-level experience, including deploying applications, reviewing pods/logs/events, and working with services, ingress, namespaces, config maps, and basic Helm usage.

• Experience with CI/CD pipelines using Jenkins, GitHub Actions, or similar tools.

• Experience with Infrastructure as Code using Terraform or similar tools.

• Working knowledge of cloud infrastructure concepts, preferably with AWS and/or Azure.

• Experience supporting lab, development, or demo environments using virtualization or on-prem infrastructure.

• Understanding of networking fundamentals, including DNS, TLS, ingress, routing, firewalls, and basic connectivity troubleshooting.

• Experience writing Bash, Python, or similar scripts to automate repeatable platform, deployment, or operational tasks.

• Experience with artifact repositories such as Nexus or Artifactory.

• Ability to work in ambiguous environments, identify practical next steps, and drive tasks to completion.

• Strong attention to detail and commitment to maintaining reliable, documented environments.

Preferred Skills

• Experience with Proxmox, VMware, Hyper-V, or similar virtualization platforms.

• Experience with Ansible or other configuration management tools.

• Experience with Harness or other modern CI/CD platforms.

• Experience with SonarQube or similar code quality/security tooling.

• Experience with Vault or other secrets management platforms.

• Familiarity with container/image scanning, vulnerability management, and secure software delivery practices.

• Basic awareness of CMMC, NIST 800-171, ATO, FedRAMP, STIGs, or federal compliance environments.

• AWS Associate-level certification.

• RHCSA or other Linux certification.

Working Conditions

This role is hybrid, with occasional on-site support required for lab and demo environment activities. Work will primarily involve computer-based engineering tasks, including platform operations, troubleshooting, documentation, CI/CD support, automation, and collaboration with development teams.

The role may occasionally require support for customer demos, training environments, prototypes, and internal engineering activities. The position may require limited physical interaction with lab equipment, servers, networking devices, or workstations, including basic setup, cabling, inspection, or troubleshooting. No significant physical labor is expected.

Our Core Values

Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.

What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It’s how we show up every day. It’s who we are.

• Happy- Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
• Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
• Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
• Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
• Hungry- Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
• Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Agile Defense

At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.

Our vision is to bring adaptive innovation to support our nation’s most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests.

Requisition #: 1656

Job Title: Platform Engineer II

Location: McLean, VA

Job Description

We are seeking a hands-on Platform Engineer II to own and operate our internal lab and demo environments. This role supports a hybrid platform ecosystem spanning on-prem lab infrastructure, virtualization, cloud services, Kubernetes/containerized workloads, CI/CD tooling, artifact repositories, automation, and developer enablement.

The Platform Engineer II will help maintain environment readiness, improve deployment consistency, support development teams with repeatable deployment patterns, and ensure customer demos, product experiments, prototypes, training, and onboarding environments are reliable and well documented.

This is a practical, hands-on platform engineering role for someone who can troubleshoot across the stack, automate repeatable work, document operational procedures, and help bring structure to a fast-moving lab environment.

Ideal Candidate

The ideal candidate is a self-starter who is comfortable operating in a fast-moving environment. You do not need to be a senior architect, but you should be able to troubleshoot independently, ask good questions, document what you learn, and help improve the way environments are built and maintained.

You should be comfortable working across multiple areas of the platform stack and willing to jump into whatever the lab environment needs, whether that is fixing a deployment, debugging ingress, improving a Jenkins or GitHub Actions workflow, troubleshooting a virtual machine, writing a validation script, updating documentation, or helping a development team standardize how an application is deployed.

Responsibilities

• Own day-to-day operations, readiness, and reliability of lab and demo environments.

• Maintain and support Kubernetes and containerized application deployments.

• Support on-prem lab infrastructure, virtualization platforms, virtual machines, and related network/storage dependencies.

• Support development teams by creating reusable deployment patterns, templates, documentation, and runbooks.

• Build, maintain, and improve CI/CD workflows using tools such as Jenkins and GitHub Actions.

• Troubleshoot issues across Linux systems, virtual machines, containers, Kubernetes resources, networking, DNS, TLS, ingress, and application runtime environments.

• Manage and support artifact repository workflows using tools such as Nexus or Artifactory.

• Maintain deployment documentation, environment standards, operational procedures, and troubleshooting guides.

• Help ensure customer demos, training environments, and prototype deployments are stable, prepared, and repeatable.

• Automate environment setup, validation checks, deployment steps, and routine operational tasks using Bash, Python, or similar scripting tools.

• Contribute to platform and deployment design discussions by recommending practical improvements and helping turn architecture direction into repeatable implementation patterns.

• Support basic security and compliance activities, including patching, vulnerability remediation, secrets management, TLS/certificate management, RBAC, least privilege, and secure configuration practices.

What Success Looks Like

Within the first six months, success in this role means:

• Lab and demo environments are more stable, better documented, and easier to maintain.

• Development teams can deploy more consistently using standard patterns, templates, and runbooks.

• Customer demos, product experiments, and training environments require less last-minute manual effort and are more reliable.

Education and Background

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent professional experience.

The ideal candidate will have experience in platform engineering, DevOps, systems engineering, cloud engineering, infrastructure engineering, or a related technical role. Experience should include hands-on work with Linux systems, containers, CI/CD pipelines, cloud infrastructure concepts, virtualization or on-prem lab environments, networking fundamentals, and deployment automation.

Years of Experience

4–6 years

Required Skills

• 4–6 years of experience in platform engineering, DevOps, systems engineering, cloud engineering, infrastructure engineering, or a related technical role.

• Hands-on Linux administration and troubleshooting experience.

• Experience working with containers and Docker.

• Kubernetes user-level experience, including deploying applications, reviewing pods/logs/events, and working with services, ingress, namespaces, config maps, and basic Helm usage.

• Experience with CI/CD pipelines using Jenkins, GitHub Actions, or similar tools.

• Experience with Infrastructure as Code using Terraform or similar tools.

• Working knowledge of cloud infrastructure concepts, preferably with AWS and/or Azure.

• Experience supporting lab, development, or demo environments using virtualization or on-prem infrastructure.

• Understanding of networking fundamentals, including DNS, TLS, ingress, routing, firewalls, and basic connectivity troubleshooting.

• Experience writing Bash, Python, or similar scripts to automate repeatable platform, deployment, or operational tasks.

• Experience with artifact repositories such as Nexus or Artifactory.

• Ability to work in ambiguous environments, identify practical next steps, and drive tasks to completion.

• Strong attention to detail and commitment to maintaining reliable, documented environments.

Preferred Skills

• Experience with Proxmox, VMware, Hyper-V, or similar virtualization platforms.

• Experience with Ansible or other configuration management tools.

• Experience with Harness or other modern CI/CD platforms.

• Experience with SonarQube or similar code quality/security tooling.

• Experience with Vault or other secrets management platforms.

• Familiarity with container/image scanning, vulnerability management, and secure software delivery practices.

• Basic awareness of CMMC, NIST 800-171, ATO, FedRAMP, STIGs, or federal compliance environments.

• AWS Associate-level certification.

• RHCSA or other Linux certification.

Working Conditions

This role is hybrid, with occasional on-site support required for lab and demo environment activities. Work will primarily involve computer-based engineering tasks, including platform operations, troubleshooting, documentation, CI/CD support, automation, and collaboration with development teams.

The role may occasionally require support for customer demos, training environments, prototypes, and internal engineering activities. The position may require limited physical interaction with lab equipment, servers, networking devices, or workstations, including basic setup, cabling, inspection, or troubleshooting. No significant physical labor is expected.

Our Core Values

Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.

What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It’s how we show up every day. It’s who we are.

• Happy- Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
• Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
• Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
• Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
• Hungry- Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
• Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S.

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

About the role:

Raft is building mission-critical data platforms for the Department of War that process billions of events per day from hundreds of sensors and operational sources, delivering intelligence to operators who use it to make time-sensitive decisions. Our platform runs across multiple classification levels and deployment environments. We are seeking a Staff Software Engineer to join our team.

What you will do:

• Build data infrastructure and platforms using streaming frameworks such as Apache Kafka, Flink, and Kafka Streams
• Build Extract, Transform, Load (ETL) pipelines to enable comprehensive data operations
• Leverage software engineering principles to architect, develop, and implement large scale streaming applications

What we are looking for:

• 7+ years of relevant industry experience
• Experience with building and managing fault-tolerant, data-intensive platforms using popular streaming technologies such as Kafka, Pinot, or Flink
• Experience with large-scale relational and non-relational databases such as PostgreSQL, MySQL, MongoDB, and Elasticsearch to handle low-latency requirements
• Experience in data management including ETL processing, data governance, and data storage
• Experience with building and deploying software in cloud-native environments
• Experience diagnosing and resolving container deployment issues within Kubernetes environments
• Experience using a variety of package managers/dependency managers including Maven, Gradle, and NPM
• Deep knowledge of software design and architecture patterns
• Obtain Security+ certification within the first 90 days of employment with Raft

Highly preferred:

• Experience with Kubernetes
• Experience with monitoring (i.e. Prometheus, Grafana) and logging (i.e. Fluentbit, Kibana, Loki) solutions in cloud-native environments
• Solid understanding of Helm Charts
• Experience or knowledge of service mesh technologies, such as Istio
• Experience with supporting enterprise Cloud applications or infrastructure
• Experience in automation languages like Python or GoLang

Clearance Requirements:

• Active Secret Clearance to start and ability to obtain and maintain Top Secret

Salary Range: $140,000 - $190,000

• The determination of compensation is predicated upon a candidate’s comprehensive experience, demonstrated skill, and proven abilities

Work Type:

• Hybrid in Rome, NY, Hanscom, or NCR (National Capital Region)

• Domestic travel up to 35% to customer sites

What we will offer you:

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Generous Referral Bonuses
• And More!

Our Vision Statement:

We bridge the gap between humans and data through radical transparency and our obsession with the mission.

Our Customer Obsession:

We will approach every deliverable like it’s a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there?

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm.

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our _“nadi”_ by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

About the Company

Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all — bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact.

The Department: Trading Systems

The Role: Staff Software Engineer (Post-Trade Data)

As an engineer on the Trading Systems team, you’ll architect and solve complex problems that will directly influence the direction of the digital asset space. There’s a wide range of problems to solve at Gemini—from properly securing millions of dollars worth of customer funds, to developing innovative new blockchain products, to shaving microseconds off our API response times. We have a strong culture of code reviews, and a focus on security, with the end goal of writing and shipping high-quality code by getting things right the first time. We want to continue building the best product we can as we scale and grow our business. If you get excited about solving technical challenges that directly impact our customers, clients, and the rest of the Gemini team, we’d love to hear from you.

We are seeking a high-caliber Staff Software Engineer to join our Trading Systems team in Singapore, specifically anchoring our Post-Trade Data stream. In this role, you will be a technical leader responsible for shaping our end-to-end data story. You will solve complex architecture challenges for both near real-time and historical data systems, driving our data landscape strategy forward while ensuring our operational posture remains bulletproof. The ideal candidate is a versatile hybrid—someone with deep, specialized data engineering expertise who is also a well-rounded, hands-on software engineer capable of guiding a tight-knit team.

Responsibilities:

• Technical Leadership & Strategy: Provide technical direction and mentorship to the local engineering team; own the technical roadmap for the post-trade data stream, ensuring scalability, maintainability, and high-quality engineering standards.
• Data Architecture: Design, build, and optimize robust systems to process, store, and serve critical near real-time and historical post-trade data.
• Strategic Initiatives: Drive key strategic data projects, including the integration and optimization of modern technologies like StarRocks to elevate our analytical capabilities.
• Feature Development: Develop new products and product features on the Gemini platform, working as part of a tight-knit team of two to eight developers.
• Code Quality & Security: Review other software engineers’ code for correctness, style, and information security concerns. Engage in refactoring and upgrade projects to continuously improve the codebase.
• Testing & Operations: Write automated tests and work with our QA team to ensure system correctness. Oversee general functionality of risk systems, implement advanced monitoring tools, and maintain a strong operational posture for the post-trade data

pipeline.

• Incident & Issue Management: Identify, coordinate, and manage resolution efforts on processing usage and data bottlenecks, owning technical issues through to resolution.
• Project Delivery: Plan and coordinate project implementation efforts, estimate work schedules, and make well-reasoned technical tradeoffs based on business needs.

Minimum Qualifications:

• Experience: At least 8 years of software engineering experience, with a proven track record of acting as a technical lead or senior architect.
• Language Proficiency: Advanced proficiency in at least one backend language. We use mostly Scala and C++ on our backend and TypeScript on the frontend—it’s great if you’re comfortable in those or if you’re willing to learn.
• Data Engineering Expertise: Heavy hands-on experience in the big data ecosystem, specifically working with distributed processing frameworks like Apache Flink and Apache Spark.
• Execution & Collaboration: The ability to work closely across cross-functional teams, manage complex dependencies, and handle multiple competing priorities in collaboration with peers.
• Mindset: A customer and product-focused mindset, with the ability to balance speed and quality without compromising on security or operational stability.

Preferred Qualifications:

• Industry Experience: Deep work experience or knowledge of the finance industry, payments, exchange systems, or electronic trading systems.
• Crypto & Blockchain: Experience working with or being a power user of Bitcoin, Ethereum, and/or blockchain technology.
• OLAP Technologies: Experience with next-generation OLAP databases (such as StarRocks, ClickHouse, or Apache Pinot) for real-time analytics is a massive plus.

It Pays to Work Here

We take a holistic approach to compensation at Gemini, which includes:

• Comprehensive health plans covered at 100% for employees and dependents
• Long-term incentive in the form of a new hire equity grant
• Paid Parental Leave
• Competitive paid time off

In Singapore, we have a hybrid work policy. Employees are expected to work from the office part of the week. We believe our hybrid approach increases productivity through more in-person collaboration where possible.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-AA1

This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S.

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

About the role:

Raft builds mission-critical data, AI, and operational platforms that support time-sensitive decisions across multiple classification levels and deployment environments. Our systems move from cloud-hosted development environments into classified, on-premises, and edge deployments where reliability, security, and repeatability matter.

As an Associate DevOps Engineer, you will help secure, deploy, and operate the platforms behind [R]DP, [R]AP, [R]AIMS, and Raft’s MLOps workflows. This is not a narrow infrastructure role. You will learn how the software works, how data moves through the platform, how Kubernetes workloads behave in production, and how security controls become part of everyday delivery rather than an after-the-fact checklist.

What makes this role different is the breadth of what you’ll be exposed to. CI/CD, GitOps, Kubernetes, Helm charts, observability, secure configuration, data pipelines, ML serving, and customer deployments all show up in the same workstream. You will work alongside experienced platform, software, data, and security engineers while taking ownership of well-scoped work. The right person is curious, disciplined, willing to troubleshoot deeply, and ready to grow into broader platform ownership over time.

What You’ll Do

• Implement, maintain, and troubleshoot Kubernetes-based platform infrastructure under the guidance of senior engineers
• Build and maintain CI/CD and GitOps workflows using tools such as GitLab CI, Argo CD, Flux, Helm, and repository-managed deployment configuration
• Support secure software delivery practices including container hardening, vulnerability scanning, image provenance checks, secrets hygiene, and policy-driven deployment gates
• Help operate cloud, on-premises, and disconnected deployments across AWS, Azure, data center, and tactical environments
• Deploy and debug services, Helm charts, service mesh configuration, Kubernetes networking, storage, and runtime behavior
• Support observability across Prometheus, Grafana, Fluent Bit, Loki, Kibana, OpenTelemetry, or similar tooling so issues can be detected and resolved quickly
• Work with software and data engineers to understand service dependencies, data flows, and operational failure modes
• Support data and MLOps workloads that may include Kafka, Flink, Pinot, KServe, Kubeflow, Ray, GPU-enabled workloads, and model-serving workflows
• Write maintainable automation and small tools in Go, Java, Python, Bash, or similar languages to reduce manual effort and improve repeatability
• Contribute to compliance-driven delivery practices aligned with RMF, STIGs, NIST 800-53, IL4/IL5/IL6, and customer-specific security requirements
• Document operational procedures, deployment notes, troubleshooting steps, and lessons learned in a way other engineers can reuse

What we are looking for:

• 1 to 3 years of hands-on experience in DevSecOps, DevOps, platform engineering, cloud infrastructure, systems administration, cybersecurity engineering, or a closely related role
• Working familiarity with Linux, containers, Docker, and Kubernetes concepts, including pods, services, deployments, config maps, secrets, ingress, and basic troubleshooting
• Experience building, running, or supporting CI/CD pipelines; exposure to GitLab CI, GitHub Actions, Jenkins, Argo CD, Flux, or similar tools
• Exposure to Infrastructure as Code or configuration management with Terraform, Ansible, Helm, Kustomize, or similar tooling
• Understanding of foundational security practices such as least privilege, vulnerability management, container image scanning, secrets handling, secure configuration, and auditability
• Ability to read application logs, inspect runtime configuration, use command-line tooling, and follow evidence to root cause
• Basic scripting or programming ability in Go, Java, Python, Bash, or a comparable language
• Interest in data platforms, streaming systems, MLOps, and operational AI/ML workloads; prior exposure to Kafka, Flink, KServe, Kubeflow, or Ray is a plus
• Strong written communication and willingness to document work clearly for teammates, customers, and future operators
• Active Secret clearance required; must be eligible for and willing to obtain a Top Secret/SCI clearance
• Ability to obtain Security+ certification within the first 90 days of employment
• Ability to travel up to 30%

Highly preferred:

• Hands-on experience deploying applications with Helm or Kustomize in a Kubernetes environment
• Exposure to GitOps workflows and continuous delivery across multiple environments
• Familiarity with AWS or Azure fundamentals including IAM, networking, storage, compute, and managed Kubernetes services
• Exposure to service mesh technologies such as Istio, including mTLS, traffic routing, and observability concepts
• Familiarity with security and compliance frameworks used in government delivery, including RMF, STIGs, FedRAMP, NIST 800-53, and IL4/IL5/IL6 controls
• Experience supporting air-gapped, disconnected, classified, or resource-constrained deployments
• Exposure to SBOMs, SCA, SAST, DAST, container scanning, admission control, OPA/Gatekeeper, Kyverno, Sigstore, or similar supply chain security tooling
• Existing TS/SCI clearance strongly preferred

What Success Looks Like

• You reliably execute assigned deployment, automation, observability, and security tasks with clear communication and good follow-through
• You can explain what changed, why it changed, how it was verified, and what risk remains
• You grow quickly from following runbooks to improving them, then to owning small platform improvements end to end
• Senior engineers trust you with well-defined operational work because you investigate carefully and escalate the right issues early
• Security and compliance practices show up in your daily work: pipelines, manifests, secrets, images, documentation, and operational handoffs are kept clean

Clearance Requirements:

• Active Secret Clearance Required; TS/SCI eligibility required

Salary Range: $120,000.00 - $160,000.00

Work Type:

• Hybrid with up to 30% travel

What we will offer you:

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Generous Referral Bonuses
• And More!

Our Vision Statement:

We bridge the gap between humans and data through radical transparency and our obsession with the mission.

Our Customer Obsession:

We will approach every deliverable like it’s a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there?

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm.

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our _“nadi”_ by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S.

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

About the role:

Raft is building mission-critical data platforms for the Department of War that process billions of events per day from hundreds of sensors and operational sources, delivering intelligence to operators who use it to make time-sensitive decisions. Our platform runs across multiple classification levels and deployment environments. We are seeking a Staff Software Engineer to join our team.

What you will do:

• Build data infrastructure and platforms using streaming frameworks such as Apache Kafka, Flink, and Kafka Streams
• Build Extract, Transform, Load (ETL) pipelines to enable comprehensive data operations
• Leverage software engineering principles to architect, develop, and implement large scale streaming applications

What we are looking for:

• 7+ years of relevant industry experience
• Experience with building and managing fault-tolerant, data-intensive platforms using popular streaming technologies such as Kafka, Pinot, or Flink
• Experience with large-scale relational and non-relational databases such as PostgreSQL, MySQL, MongoDB, and Elasticsearch to handle low-latency requirements
• Experience in data management including ETL processing, data governance, and data storage
• Experience with building and deploying software in cloud-native environments
• Experience diagnosing and resolving container deployment issues within Kubernetes environments
• Experience using a variety of package managers/dependency managers including Maven, Gradle, and NPM
• Deep knowledge of software design and architecture patterns
• Obtain Security+ certification within the first 90 days of employment with Raft

Highly preferred:

• Experience with Kubernetes
• Experience with monitoring (i.e. Prometheus, Grafana) and logging (i.e. Fluentbit, Kibana, Loki) solutions in cloud-native environments
• Solid understanding of Helm Charts
• Experience or knowledge of service mesh technologies, such as Istio
• Experience with supporting enterprise Cloud applications or infrastructure
• Experience in automation languages like Python or GoLang

Clearance Requirements:

• Active Secret Clearance to start and ability to obtain and maintain Top Secret

Salary Range: $140,000 - $190,000

• The determination of compensation is predicated upon a candidate’s comprehensive experience, demonstrated skill, and proven abilities

Work Type:

• Hybrid in Rome, NY, Hanscom, or NCR (National Capital Region)

• Domestic travel up to 35% to customer sites

What we will offer you:

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Generous Referral Bonuses
• And More!

Our Vision Statement:

We bridge the gap between humans and data through radical transparency and our obsession with the mission.

Our Customer Obsession:

We will approach every deliverable like it’s a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there?

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm.

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our _“nadi”_ by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Brain Corp is an AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain’s robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Position Overview:

The Sr Staff Software Engineer - Cloud (Technical Lead Manager) is a key contributor within Brain Corp’s engineering organization leading the design and development of large-scale, high-availability systems powering Brain Corp’s cloud platform. This platform connects our global fleet of autonomous robots, manages data ingestion from the field, and supports advanced machine learning pipelines for perception, analytics, and operational insights. This dual role will serve as both a technical leader and people manager, guiding a team of cloud engineers while contributing hands-on to the architecture, design, and implementation of next-generation cloud services. The engineer will work closely with ML engineers, data scientists, and infrastructure teams to build scalable cloud-based machine learning systems that handle massive volumes of image data and deliver efficient inference at scale.

This role is located in our Utrecht, Netherlands office.

Essential Job Functions:

• Lead and manage a team of cloud software engineers, providing technical mentorship, career guidance, and performance management
• Define and execute the cloud technical roadmap, ensuring alignment with Brain Corp’s business and product goals
• Architect and implement high-availability, scalable, and secure systems on Google Cloud Platform (GCP) to support machine learning workloads and data ingestion at scale
• Design, build, and operate ML pipelines that process hundreds of thousands of images daily, enabling rapid model iteration and deployment
• Develop and optimize GPU resource management strategies, improving model serving throughput, latency, and cost efficiency
• Build canary and staging environments to ensure safe, progressive deployments and system resilience
• Collaborate cross-functionally with ML, DevOps, and robotics teams to define APIs, data models, and operational workflows for cloud–robot communication
• Implement Infrastructure-as-Code (IaC) solutions using Pulumi, Terraform, or equivalent, ensuring repeatable and automated deployments
• Establish and maintain cloud observability systems, ensuring reliability, performance, and security compliance
• Drive technical excellence, setting coding standards, reviewing designs, and promoting best practices in distributed systems and cloud ML architectures
• Stay current with advancements in GCP, ML infrastructure, and MLOps to continuously improve platform capabilities and team practices

Education and/or Work Experience Requirements:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• 10+ years of professional software engineering experience, including 3+ years in cloud architecture or large-scale distributed systems
• 3+ years of technical leadership or management experience, preferably in a Technical Lead Manager or team lead capacity
• Proven experience designing and operating GCP-based ML systems at scale

Required Knowledge, Skills, Abilities and Other Characteristics:

• Expert-level knowledge of Google Cloud Platform (GCP) services such as GKE, Dataflow, BigQuery, Cloud Run, Pub/Sub, Vertex AI, and Cloud Storage
• Strong proficiency in Go, Python, or TypeScript, with an emphasis on maintainable, production-quality code
• Deep understanding of machine learning pipelines: data ingestion, preprocessing, training, deployment, and inference
• Experience optimizing GPU workloads, autoscaling, and resource scheduling in cloud environments
• Proven success in designing high-availability and fault-tolerant distributed systems
• Hands-on experience with containerization and orchestration technologies (Docker, Kubernetes)
• Familiarity with infrastructure-as-code tools (Pulumi, Terraform) and CI/CD systems (e.g., Jenkins, GitHub Actions)
• Strong understanding of security, networking, and observability in cloud environments
• Excellent problem-solving, communication, and leadership skills
• Ability to balance hands-on technical work with people management responsibilities
• Passion for robotics, automation, and enabling intelligence at scale

Things that Make a Difference:

• Experience in robotics data pipelines, fleet management, or IoT-scale data ingestion
• Experience self-hosing ML inference
• Hands-on experience with Vertex AI, Kubeflow, or TensorFlow Serving in production
• Background in event-driven architectures and message streaming (e.g., Pub/Sub, Kafka)
• Experience with SOC2/ISO27001-compliant systems and secure cloud practices
• Familiarity with Agile methodologies and modern DevOps culture

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; push or pull up to 20 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Benefits and Perks

In addition to base pay, our competitive total rewards package consists of:

- Hybrid Work Schedule: We operate on a hybrid model, with three days in the office (Monday, Tuesday, and Thursday).

- Flexible Hours: We are not a traditional 9-5 company and offer flexibility. Please note that as our HQ is in San Diego, some coordination may occur outside of local business hours.

- Unlimited PTO: We offer an unlimited paid time off policy.

- Paid Lunch: Lunch is provided/paid for by the company.

- Holiday Observance: We recognize all national holidays.

- Office Environment & Location: We maintain an informal work environment, and our office is conveniently located directly on a major train station hub.

Welcome to Planet. We believe in using space to help life on Earth.

Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.

Customers and users across the globe use Planet’s data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.

As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.

We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.

Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.

About the Role:

You will join a collaborative team of Software Engineers responsible for delivering high quality software that supports satellite-related solutions (web based GUIs and public facing APIs). You will be involved in all phases of the Software Development Life Cycle and engage with the latest software technologies. You will also be part of a cross-functional team working in an Agile, highly collaborative, cross-functional environment in which we strive to build quality into every step of the delivery process.

This role emphasizes teamwork, process improvement, and shared ownership. The ideal candidate is innovative, results-driven, proactive, and an effective communicator with a mix of curiosity and passion for satellite technologies.

This is a part-time, in-office position based in our Berlin office approximately 3 days per week.

Impact You’ll Own:

• Participate in all phases of the Software Development Life Cycle (SDLC), from requirements analysis to deployment, including planning, feature implementation, test automation.
• Contribute to maintenance and improvement of existing tools and test automation frameworks, microservice applications and test data management.
• Support internal workflows and prepare documentation.

What You Bring:

• Enrolled in a Bachelor’s/Master’s degree.
• Basic knowledge of Python or Javascript/Typescript.
• Tech savvy: eager to learn new technologies and skills.
• Ability to work in a dynamic team environment.
• Creative thinker with the ability to approach problems from multiple angles.
• Professional working proficiency in English, the language of the company.

What Makes You Stand Out:

• Development background using Python, Javascript, Typescript, Git.
• Web Application development experience.
• Understanding of DevOps and CI/CD concepts.
• Familiarity with testing practices, API testing and Python (pytest)..
• Excellent organizational skills and detail-oriented.

Application Deadline:

September 7, 2026 by 11:59p / 23:59 CET (Central European Time)

Export Control Requirements:

Planet Labs Germany GmbH is authorized to receive U.S. export-controlled information at Planet under an export license issued by the Bureau of Industry and Security. This position requires access to U.S. and German/EU export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by German, EU, or U.S. authorities.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Paid time off including vacation, holidays and company-wide days off
• Employee Wellness Program
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity
• Volunteering Paid Time Off

San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Why we care so much about Belonging. We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work.  If this job intrigues you, but you’re thinking you might not have all the qualifications, please… do apply!  At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description.  We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts.  We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.

EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights.

Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.

Privacy Policy: By clicking “Apply Now” at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.

Privacy Policy (European Applicants): By clicking “Apply Now” at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.

AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate’s consent, select interviews may be recorded and include a “Planet AI Notetaker” for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one’s candidacy.

Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Company Description

Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues.

We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world’s leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential.

Job Description

This is an great opportunity for a Junior Software Developer to join our office in Edinburgh. You’ll be part of the Payment team, who are the experts in Avaloq’s end-to-end Payments and Cash Operations solutions and maintain, improve and innovate the associated modules throughout all software layers. This ranges from customer-specific configuration for our SaaS clients and the Avaloq Banking Standard (ABR/S) for the various markets, down to the innermost core development for each of our clients.

Comprising of talented software developers, business analysts, and consultants from around the world, we collaborate in a dynamic and innovative environment. You’ll become a trusted subject matter expert within your functional area, taking on a diverse range of assignments that will keep you challenged and engaged.

This role would be ideal for a junior software developer who is motivated to learn new skills, values customer interaction and thrives on crafting customization layers that enhance user experience. In return for your commitment to this role, you will have a unique opportunity to explore your area of expertise within the various markets and to play an active part along the entire value chain.

Your key tasks:

• Design innovative solutions for new developments in collaboration with our technical leads and architects.
• Implement cutting-edge business functionality, aligning with the appropriate software layers and enhancing reliability through automated testing.
• Take full ownership of your modules, working closely with your team to maintain and optimize functionality.
• Foster collaboration with colleagues both within the team and across departments, building solid partnerships for success.

Qualifications

• University degree in Software Engineering, Mathematics, Computer Science or related discipline
• Fantastic rapport building skills and client-focused approach
• Proficient programming, analytical and problem-solving skills
• Drive to learn new skills
• An interest in banking

It would be a real bonus if you have:

• Experience working in the Financial Services industry
• Knowledge of PL/SQL and relational database systems
• Business know-how or operational experience in Payments
• Awareness or experience of Agile methodologies

Additional Information

We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices.

In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self.

We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way.

Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.

About Rundoo ℹ️

Our mission is to empower independent supply stores with best-in-class technology. Think of your local hardware store or mom-and-pop nursery—these are our clients. From paint to lumber to flooring, over 200,000 such stores across the country sell over $1T of building materials annually using outdated, on-premises systems. We’re aiming to help them modernize so that they can continue to thrive.

Backed by leading investors including Bessemer and CRV, we’ve raised $18M across three rounds and are growing quickly. Our team is made up of builders, sellers, and industry veterans with a shared goal: to bring modern technology to an overlooked industry.

About the role 💼

You’ll be based out of our Redwood City office and work in person with the rest of our engineering team. As a Software Engineer, you’ll ship features end-to-end across our stack: a Go backend, a TypeScript/React web app, and React Native mobile apps. Your work goes directly to the supply-store owners and staff who run their businesses on Rundoo every day.

You’ll report to one of our engineering leads and work in a small pod of about 4–5 engineers. You’ll own clearly-scoped projects from start to rollout, get deep in the part of the product your pod owns, and build your system and product intuition with mentorship from senior engineers through pairing and code review. It’s a good fit for someone 1–3 years into their career.

What you’ll do as a Software Engineer at Rundoo 🗒️

• Ship features end-to-end, from the proto and backend logic to the web and mobile UI

• Own small, clearly-scoped projects (typically 1–3 weeks) with limited direction, from scoping through rollout

• Go deep in your pod’s part of the product so you can fix arbitrary bugs and add new features with confidence

• Align with PM and tech lead on what you’re building and why, and write tickets clear enough for another engineer to pick up

• Talk to clients directly, calling stores to research how they work and to get their feedback on what you’ve shipped

• Write design docs for your features and reason about how your work interacts with adjacent systems

• Review teammates’ code and act on the feedback you get, keeping our codebase readable and maintainable

• Spot broken team processes and fix them, automating manual work where it speeds up delivery

Requirements ☑️

• 1–3 years of professional software engineering experience

• Solid command of computer-science fundamentals and fluency in at least one production language

• Comfort shipping features end-to-end and debugging across the stack

• Based in (or willing to relocate to) the Bay Area and able to work in person 4 days a week in our Redwood City office

Bonus points 🌟

• Experience with Go, TypeScript/React, or React Native

• Experience at an early-stage startup, or another fast-moving environment

• Familiarity with ERP, POS, payments, or other system-of-record software

Compensation 💵

• Base Salary: $186K

• Equity package of $101K / 0.0440% / 7,602 options

Meet some of the team 👥

• George: Studied computer science and math at Stanford; worked a couple internships at Meta + some startups in Denver; jaywalking ticket recipient 🦹

• Santi: Studied CE and played varsity soccer at Waterloo: internships at Replicant and other Canadian startups

• Vidya: Studied Computer Science at UC Berkeley; worked at Ironclad for 5 years as a Software Engineer and Engineering Manager; south Indian classical dancer

• Umer: CS at NUS; interned at Visa and a couple of startups in Singapore. Has an identical twin 👯‍♂️

• Jordan: Studied computer engineering at Waterloo; did internships at IBM, Rivian, and a couple startups; Played the Saxophone professionally for a while 🎷

Interview Process 🎤

1. Intro Call (20 mins) – Meet a recruiter to learn more about each other

2. Round 1 (45 mins, remote) – Coding screen with an engineer

3. Round 2 (45 mins, remote) – System design screen with one of our engineer

4. Onsite (~4–5 hours) – A mix of technical and culture interviews with the team

About our founders 🌲

1. Andrew (CTO): studied computer science & humanities at Stanford; worked as a software engineer and head of engineering at Apple & Anova; danced with the SF ballet (where he met his wife)! 🩰

2. Nick (CEO): studied math & computer science at Stanford; worked as a trader at Bridgewater & Citadel and as a PM at Google & Enigma; distantly related to the founder of the Hershey company 🍫

How we’ve fundraised 💰

We’ve raised $18m across three rounds:

1. A $2m pre-seed led by Kent Bennett at Bessemer with participation from Plug & Play, Quiet Capital, and Sequoia.

2. A $5m seed led by Caitlin Bolnick Rellas at CRV.

3. An $11m series A led again by Bessemer and CRV.

Brain Corp is an AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain’s robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Position Overview:

The Sr Staff Software Engineer - Cloud (Technical Lead Manager) is a key contributor within Brain Corp’s engineering organization leading the design and development of large-scale, high-availability systems powering Brain Corp’s cloud platform. This platform connects our global fleet of autonomous robots, manages data ingestion from the field, and supports advanced machine learning pipelines for perception, analytics, and operational insights. This dual role will serve as both a technical leader and people manager, guiding a team of cloud engineers while contributing hands-on to the architecture, design, and implementation of next-generation cloud services. The engineer will work closely with ML engineers, data scientists, and infrastructure teams to build scalable cloud-based machine learning systems that handle massive volumes of image data and deliver efficient inference at scale.

This role is located in our Utrecht, Netherlands office.

Essential Job Functions:

• Lead and manage a team of cloud software engineers, providing technical mentorship, career guidance, and performance management
• Define and execute the cloud technical roadmap, ensuring alignment with Brain Corp’s business and product goals
• Architect and implement high-availability, scalable, and secure systems on Google Cloud Platform (GCP) to support machine learning workloads and data ingestion at scale
• Design, build, and operate ML pipelines that process hundreds of thousands of images daily, enabling rapid model iteration and deployment
• Develop and optimize GPU resource management strategies, improving model serving throughput, latency, and cost efficiency
• Build canary and staging environments to ensure safe, progressive deployments and system resilience
• Collaborate cross-functionally with ML, DevOps, and robotics teams to define APIs, data models, and operational workflows for cloud–robot communication
• Implement Infrastructure-as-Code (IaC) solutions using Pulumi, Terraform, or equivalent, ensuring repeatable and automated deployments
• Establish and maintain cloud observability systems, ensuring reliability, performance, and security compliance
• Drive technical excellence, setting coding standards, reviewing designs, and promoting best practices in distributed systems and cloud ML architectures
• Stay current with advancements in GCP, ML infrastructure, and MLOps to continuously improve platform capabilities and team practices

Education and/or Work Experience Requirements:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• 10+ years of professional software engineering experience, including 3+ years in cloud architecture or large-scale distributed systems
• 3+ years of technical leadership or management experience, preferably in a Technical Lead Manager or team lead capacity
• Proven experience designing and operating GCP-based ML systems at scale

Required Knowledge, Skills, Abilities and Other Characteristics:

• Expert-level knowledge of Google Cloud Platform (GCP) services such as GKE, Dataflow, BigQuery, Cloud Run, Pub/Sub, Vertex AI, and Cloud Storage
• Strong proficiency in Go, Python, or TypeScript, with an emphasis on maintainable, production-quality code
• Deep understanding of machine learning pipelines: data ingestion, preprocessing, training, deployment, and inference
• Experience optimizing GPU workloads, autoscaling, and resource scheduling in cloud environments
• Proven success in designing high-availability and fault-tolerant distributed systems
• Hands-on experience with containerization and orchestration technologies (Docker, Kubernetes)
• Familiarity with infrastructure-as-code tools (Pulumi, Terraform) and CI/CD systems (e.g., Jenkins, GitHub Actions)
• Strong understanding of security, networking, and observability in cloud environments
• Excellent problem-solving, communication, and leadership skills
• Ability to balance hands-on technical work with people management responsibilities
• Passion for robotics, automation, and enabling intelligence at scale

Things that Make a Difference:

• Experience in robotics data pipelines, fleet management, or IoT-scale data ingestion
• Experience self-hosing ML inference
• Hands-on experience with Vertex AI, Kubeflow, or TensorFlow Serving in production
• Background in event-driven architectures and message streaming (e.g., Pub/Sub, Kafka)
• Experience with SOC2/ISO27001-compliant systems and secure cloud practices
• Familiarity with Agile methodologies and modern DevOps culture

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; push or pull up to 20 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Benefits and Perks

In addition to base pay, our competitive total rewards package consists of:

- Hybrid Work Schedule: We operate on a hybrid model, with three days in the office (Monday, Tuesday, and Thursday).

- Flexible Hours: We are not a traditional 9-5 company and offer flexibility. Please note that as our HQ is in San Diego, some coordination may occur outside of local business hours.

- Unlimited PTO: We offer an unlimited paid time off policy.

- Paid Lunch: Lunch is provided/paid for by the company.

- Holiday Observance: We recognize all national holidays.

- Office Environment & Location: We maintain an informal work environment, and our office is conveniently located directly on a major train station hub.

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

What you’ll do:

• Work on complex technical projects from requirements analysis through design, implementation, testing and launch into production.
• Bring your own point of view on best engineering practices.
• Be hands-on and contribute to the implementation.
• Identify and improve parts of the platform to make it more robust and scalable.
• Your code will be used at scale and you are expected to think in that mindset when building features.
• We launch fast and iterate often. Concretely, this means that within your first few weeks, you will bring live functionalities that impact many merchants and shoppers.
• Build APIs and tooling according to quality principles such as performance and code quality.
• Collaborate across teams and time zones to get projects over the finish line.

Who you are:

• You’re not just a coder; you’re an engineer with an ownership mentality.
• You have experience with Java, Web Services, REST Apis, Webhooks and SQL/PostgreSql.
• You have a good understanding of Software Engineering practices and interest in product knowledge.
• You are familiar with complex large scale distributed systems.
• You value involving other people to hear different perspectives.

Minimum qualifications:

• 5+ years of experience in the software development industry
• Full professional proficiency in English
• This role is based out of our Chicago office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

The annual base salary range for this role is $154,000 - $243,000; to learn more about our compensation philosophy, please click here .

Our Diversity, Equity and Inclusion commitments

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This role is based out of our Chicago office. We have a hybrid workplace and value in-person collaboration; we do not offer remote-only roles.

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be geared toward someone with a strong interest in applied AI to help build intelligent, scalable systems. This role focuses on integrating AI capabilities into production software—bridging traditional engineering with modern machine learning and large language model (LLM) workflows.

You’ll work on backend services, APIs, and data pipelines that power AI-driven features, while collaborating closely with product and design to bring those capabilities to life.

What You’ll Do

• Design, build, and maintain scalable backend systems and APIs
• Integrate AI/ML capabilities into applications (LLMs, embeddings, classification, etc.)
• Develop and optimize data pipelines for AI workflows
• Implement retrieval-augmented generation (RAG) and context-aware systems
• Evaluate and integrate third-party AI tools and services
• Improve system performance, reliability, and cost efficiency
• Write clean, maintainable, and well-tested code
• Collaborate with cross-functional teams to ship AI-powered features
• Contribute to architecture decisions and technical direction

⠀

Required Skills

• Strong programming experience in one or more languages (e.g., Python, JavaScript/TypeScript, PHP, Go)
• Experience building and maintaining backend systems and APIs
• Familiarity with cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure
• Experience working with databases (SQL and/or NoSQL)
• Understanding of software design principles and system architecture
• Familiarity with integrating AI APIs such as OpenAI or Anthropic
• Basic understanding of:
  • Prompt engineering
  • Embeddings and vector search
  • Model limitations and evaluation

⠀

Bonus Skills

• Experience building AI-powered applications in production
• Familiarity with vector databases (e.g., Pinecone, Weaviate)
• Experience with frameworks such as LangChain or LlamaIndex
• Knowledge of machine learning fundamentals (training, fine-tuning, evaluation)
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Exposure to event-driven or streaming architectures
• Frontend experience (React, Next.js) is a plus but not required

⠀

How You Work

• Strong problem-solver with attention to detail
• Curious about emerging AI technologies and eager to experiment
• Comfortable working in evolving, fast-paced environments
• Focused on building reliable, production-ready systems
• Communicates clearly with both technical and non-technical teammates

⠀

Example Projects

• Building APIs that power AI-driven features (chat, summarization, recommendations)
• Implementing a RAG pipeline for internal or customer-facing search
• Creating services that orchestrate LLM workflows or agents
• Optimizing latency and cost of AI inference in production
• Developing tools to evaluate and monitor model performance

At AXS, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but can’t ”check every box” in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

Pay Scale: $92,000-$115,000

Bonus: This position is eligible for a bonus under the current bonus plan requirements.

Benefits: Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings. Currently, full time employees are eligible for these benefits on the first day of employment.

*Employer does not offer work visa sponsorship for this position.

What’s in it for You?

• Extraordinary People – we’re not kidding!
• Meaningful Mission– Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
• Development and Learning – Opportunities for learning and leveling up through training and education reimbursement.
• Community & Belonging–A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace.

More about AXS

AXS, a subsidiary of AEG, sells millions of tickets each year for 1600+ premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand. Headquartered in Downtown Los Angeles, California, AXS employs more than 900 professionals in multiple locations worldwide. In each location you’ll find a team of dedicated, diverse employees (we’ve dubbed ourselves “Fanatix”) who create groundbreaking products and services in a fun, fast-paced environment.

To learn more about our culture and values, visit: https://solutions.axs.com/careers/

More about AEG

For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

We are dedicated to a diverse, inclusive and authentic workplace, so if you’re excited about this role but can’t “check every box” in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG’s policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

#LI-Hybrid

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.

AXS is seeking a Product Developer to join our carbonhouse team in Charlotte, NC. This role will be geared toward someone who can operate across the full stack while deeply integrating AI into product experiences. This role sits at the intersection of engineering, product thinking, and applied AI—ideal for someone who doesn’t just build features, but shapes intelligent systems that deliver real user value.

You’ll work on designing, building, and scaling applications that leverage modern AI capabilities (LLMs, embeddings, automation pipelines) alongside traditional web architecture.

What You’ll Do

• Design and build full-stack applications from concept to production (frontend, backend, APIs)
• Integrate AI capabilities into products (e.g., LLMs, vector search, AI workflows, agents)
• Collaborate with product and design to define features, UX, and system behavior
• Architect scalable backend systems and data flows (including API-first and event-driven patterns)
• Rapidly prototype and iterate on AI-driven features and products
• Evaluate and implement third-party AI tools, APIs, and infrastructure
• Optimize performance, reliability, and cost of AI systems
• Write clean, maintainable, and well-tested code
• Contribute to product strategy, not just implementation

⠀

Required Skills

• Strong experience across the stack:
  • Frontend: React, Next.js, Astro or similar modern frameworks
  • Backend: Node.js, PHP, Python or similar
  • APIs: REST and/or GraphQL
• Experience building and shipping production applications
• Familiarity with integrating AI APIs (e.g., OpenAI, Anthropic, etc.)
• Understanding of:
  • Prompt engineering
  • Embeddings and vector databases
  • Retrieval-augmented generation (RAG)
• Experience with cloud platforms (AWS, GCP, or similar)
• Solid grasp of data modeling and system design

⠀

Bonus Skills

• Experience building AI-native products or features
• Familiarity with vector databases (e.g., Pinecone, Weaviate, Upstash Vector)
• Experience with edge computing or serverless platforms
• Background in developer platforms or API-first products
• Knowledge of ML fundamentals (fine-tuning, evaluation, model selection)
• Experience with real-time systems or streaming data
• Startup or small-team experience (wearing multiple hats)

⠀

How You Work

• Product-minded: you think in terms of user outcomes, not just code
• Comfortable with ambiguity and rapid iteration
• Bias toward shipping and learning quickly
• Able to balance speed with scalability and maintainability
• Strong communicator across technical and non-technical stakeholders

⠀

Example Projects You Might Work On

• Building an AI-powered search or recommendation system using RAG
• Creating internal tools that automate workflows using LLM agents
• Developing customer-facing features powered by generative AI
• Designing APIs that expose AI capabilities to other products
• Prototyping new AI-driven product ideas and taking them to production

At AXS, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but can’t ”check every box” in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

Pay Scale: $75,000 - $100,000

Bonus: This position is eligible for a bonus under the current bonus plan requirements.

Benefits: Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings. Currently, full time employees are eligible for these benefits on the first day of employment.

*Employer does not offer work visa sponsorship for this position.

What’s in it for You?

• Extraordinary People – we’re not kidding!
• Meaningful Mission– Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
• Development and Learning – Opportunities for learning and leveling up through training and education reimbursement.
• Community & Belonging–A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace.

More about AXS

AXS, a subsidiary of AEG, sells millions of tickets each year for 1600+ premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand. Headquartered in Downtown Los Angeles, California, AXS employs more than 900 professionals in multiple locations worldwide. In each location you’ll find a team of dedicated, diverse employees (we’ve dubbed ourselves “Fanatix”) who create groundbreaking products and services in a fun, fast-paced environment.

To learn more about our culture and values, visit: https://solutions.axs.com/careers/

More about AEG

For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

We are dedicated to a diverse, inclusive and authentic workplace, so if you’re excited about this role but can’t “check every box” in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG’s policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

#LI-Hybrid

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be geared toward someone with a strong interest in applied AI to help build intelligent, scalable systems. This role focuses on integrating AI capabilities into production software—bridging traditional engineering with modern machine learning and large language model (LLM) workflows.

You’ll work on backend services, APIs, and data pipelines that power AI-driven features, while collaborating closely with product and design to bring those capabilities to life.

What You’ll Do

• Design, build, and maintain scalable backend systems and APIs
• Integrate AI/ML capabilities into applications (LLMs, embeddings, classification, etc.)
• Develop and optimize data pipelines for AI workflows
• Implement retrieval-augmented generation (RAG) and context-aware systems
• Evaluate and integrate third-party AI tools and services
• Improve system performance, reliability, and cost efficiency
• Write clean, maintainable, and well-tested code
• Collaborate with cross-functional teams to ship AI-powered features
• Contribute to architecture decisions and technical direction

⠀

Required Skills

• Strong programming experience in one or more languages (e.g., Python, JavaScript/TypeScript, PHP, Go)
• Experience building and maintaining backend systems and APIs
• Familiarity with cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure
• Experience working with databases (SQL and/or NoSQL)
• Understanding of software design principles and system architecture
• Familiarity with integrating AI APIs such as OpenAI or Anthropic
• Basic understanding of:
  • Prompt engineering
  • Embeddings and vector search
  • Model limitations and evaluation

⠀

Bonus Skills

• Experience building AI-powered applications in production
• Familiarity with vector databases (e.g., Pinecone, Weaviate)
• Experience with frameworks such as LangChain or LlamaIndex
• Knowledge of machine learning fundamentals (training, fine-tuning, evaluation)
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Exposure to event-driven or streaming architectures
• Frontend experience (React, Next.js) is a plus but not required

⠀

How You Work

• Strong problem-solver with attention to detail
• Curious about emerging AI technologies and eager to experiment
• Comfortable working in evolving, fast-paced environments
• Focused on building reliable, production-ready systems
• Communicates clearly with both technical and non-technical teammates

⠀

Example Projects

• Building APIs that power AI-driven features (chat, summarization, recommendations)
• Implementing a RAG pipeline for internal or customer-facing search
• Creating services that orchestrate LLM workflows or agents
• Optimizing latency and cost of AI inference in production
• Developing tools to evaluate and monitor model performance

At AXS, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but can’t ”check every box” in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

Pay Scale: $92,000-$115,000

Bonus: This position is eligible for a bonus under the current bonus plan requirements.

Benefits: Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings. Currently, full time employees are eligible for these benefits on the first day of employment.

*Employer does not offer work visa sponsorship for this position.

What’s in it for You?

• Extraordinary People – we’re not kidding!
• Meaningful Mission– Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
• Development and Learning – Opportunities for learning and leveling up through training and education reimbursement.
• Community & Belonging–A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace.

More about AXS

AXS, a subsidiary of AEG, sells millions of tickets each year for 1600+ premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand. Headquartered in Downtown Los Angeles, California, AXS employs more than 900 professionals in multiple locations worldwide. In each location you’ll find a team of dedicated, diverse employees (we’ve dubbed ourselves “Fanatix”) who create groundbreaking products and services in a fun, fast-paced environment.

To learn more about our culture and values, visit: https://solutions.axs.com/careers/

More about AEG

For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

We are dedicated to a diverse, inclusive and authentic workplace, so if you’re excited about this role but can’t “check every box” in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG’s policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

#LI-Hybrid

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be geared toward someone with a strong interest in applied AI to help build intelligent, scalable systems. This role focuses on integrating AI capabilities into production software—bridging traditional engineering with modern machine learning and large language model (LLM) workflows.

You’ll work on backend services, APIs, and data pipelines that power AI-driven features, while collaborating closely with product and design to bring those capabilities to life.

What You’ll Do

• Design, build, and maintain scalable backend systems and APIs
• Integrate AI/ML capabilities into applications (LLMs, embeddings, classification, etc.)
• Develop and optimize data pipelines for AI workflows
• Implement retrieval-augmented generation (RAG) and context-aware systems
• Evaluate and integrate third-party AI tools and services
• Improve system performance, reliability, and cost efficiency
• Write clean, maintainable, and well-tested code
• Collaborate with cross-functional teams to ship AI-powered features
• Contribute to architecture decisions and technical direction

⠀

Required Skills

• Strong programming experience in one or more languages (e.g., Python, JavaScript/TypeScript, PHP, Go)
• Experience building and maintaining backend systems and APIs
• Familiarity with cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure
• Experience working with databases (SQL and/or NoSQL)
• Understanding of software design principles and system architecture
• Familiarity with integrating AI APIs such as OpenAI or Anthropic
• Basic understanding of:
  • Prompt engineering
  • Embeddings and vector search
  • Model limitations and evaluation

⠀

Bonus Skills

• Experience building AI-powered applications in production
• Familiarity with vector databases (e.g., Pinecone, Weaviate)
• Experience with frameworks such as LangChain or LlamaIndex
• Knowledge of machine learning fundamentals (training, fine-tuning, evaluation)
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Exposure to event-driven or streaming architectures
• Frontend experience (React, Next.js) is a plus but not required

⠀

How You Work

• Strong problem-solver with attention to detail
• Curious about emerging AI technologies and eager to experiment
• Comfortable working in evolving, fast-paced environments
• Focused on building reliable, production-ready systems
• Communicates clearly with both technical and non-technical teammates

⠀

Example Projects

• Building APIs that power AI-driven features (chat, summarization, recommendations)
• Implementing a RAG pipeline for internal or customer-facing search
• Creating services that orchestrate LLM workflows or agents
• Optimizing latency and cost of AI inference in production
• Developing tools to evaluate and monitor model performance

At AXS, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but can’t ”check every box” in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

Pay Scale: $92,000-$115,000

Bonus: This position is eligible for a bonus under the current bonus plan requirements.

Benefits: Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings. Currently, full time employees are eligible for these benefits on the first day of employment.

*Employer does not offer work visa sponsorship for this position.

What’s in it for You?

• Extraordinary People – we’re not kidding!
• Meaningful Mission– Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
• Development and Learning – Opportunities for learning and leveling up through training and education reimbursement.
• Community & Belonging–A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace.

More about AXS

AXS, a subsidiary of AEG, sells millions of tickets each year for 1600+ premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand. Headquartered in Downtown Los Angeles, California, AXS employs more than 900 professionals in multiple locations worldwide. In each location you’ll find a team of dedicated, diverse employees (we’ve dubbed ourselves “Fanatix”) who create groundbreaking products and services in a fun, fast-paced environment.

To learn more about our culture and values, visit: https://solutions.axs.com/careers/

More about AEG

For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

We are dedicated to a diverse, inclusive and authentic workplace, so if you’re excited about this role but can’t “check every box” in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG’s policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

#LI-Hybrid