Software Developer (5189)

As a Software Developer, you’ll support secure, mission-critical platforms in a federal environment. This role works as part of a small, agile design and development team, collaborating closely with developers, data scientists, and government stakeholders to deliver reliable, scalable, and secure application and platform capabilities.

The ideal candidate has strong hands-on and full-stack software development experience, and is comfortable operating in regulated environments while enabling rapid development and experimentation.
If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

 

• Design, deploy, and maintain secure, containerized multi-service environments supporting AI-enabled platforms
• Configure reproducible, vendored dependency management for air-gapped or restricted network deployments
• Implement production-grade identify and access controls across front-end and back-end services
• Build and enforce secure CI/CD pipelines with automated code quality and security validation
• Harden infrastructure and application layers for secure production environments
• Work in an agile environment as part of a small, integrated design and development team, participating in agile ceremonies and directly supporting government customers.
• Work in an agile environment as part of a small, integrated design and development team, participating in agile ceremonies and directly supporting government customers.
• Continuously improve end-user capabilities, collaborating with other developers and data scientists, and supporting AI-enabled workflows.
• Contribute to product development in building, testing, deploying, troubleshooting, and iterating on web application features and AI-enabled services in a secure environment progressing from IL2 to IL4+
• Work closely with other team engineers on containerization and DevSecOps, adhering to secure deployment patterns, platform services, and automation best practices.

 

What you’ll need to succeed:

• Bachelor’s degree in a technical discipline (required)
• Active Secret security clearance (required)
• 3+ years of experience in full-stack software development
• Experience with modern React (Typescript, hooks, functional components) including state management, form validation, client-side routing with protected routes, and API data-fetching libraries
• Experience with Java, Nodejs, and MongoDB
• Proficiency building RESTful APIs in Python (FastAPI or similar)
• Strong experience developing and supporting server-side web applications and backend services.
• Experience integrating applications with custom APIs to dynamically consume data, services, and AI-enabled capabilities.
• Hands-on experience deploying and operating containerized applications in secure or regulated environments.
• Experience with Kubernetes-based deployment patterns, including scaling, resilience, and secure configuration.
• Proficiency with CI/CD and automation tools such as GitLab CI, including pipeline optimization and security scanning.
• Experience managing, storing, and updating artifacts using secure artifact repositories.
• Experience deploying and operating services in AWS, including secure networking, IAM, and access controls.
• Familiarity with monitoring and observability platforms such as Datadog or Elastic Cloud.
• Strong Linux system administration skills, including scripting, service configuration, system hardening, and troubleshooting.
• Experience provisioning and deploying AI models and large datasets into secure cloud environments.<