Software Developer

MetroStar

Software Developer at MetroStar delivering secure application capabilities in regulated environments. Collaborating with teams to develop AI-enabled platforms in a federal context.

Posted 4/15/2026full-timeWashington • District of Columbia, Maryland, Virginia, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $100,000 - $120,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudJavaKubernetesLinuxMongoDBNode.jsPythonReactTypeScript

About the role

Key responsibilities & impact

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 identity 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
Continuously improve end-user capabilities, collaborating with other developers and data scientists
Contribute to product development in building, testing, deploying, troubleshooting, and iterating on web application features and AI-enabled services

Requirements

What you’ll need

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)
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.
Proficiency with CI/CD and automation tools such as GitLab CI.
Experience managing, storing, and updating artifacts using secure artifact repositories.
Experience deploying and operating services in AWS.
Familiarity with monitoring and observability platforms such as Datadog or Elastic Cloud.
Strong Linux system administration skills.
Experience provisioning and deploying AI models and large datasets into secure cloud environments.
Experience supporting AI experimentation workflows.

Benefits

Comp & perks

Health, dental, and vision insurance
401(k) retirement plan with company match
Paid time off (PTO) and holidays
Parental Leave and dependent care
Flexible work arrangements
Professional development opportunities
Employee assistance and wellness programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

full-stack software developmentReactTypescriptJavaNodejsMongoDBRESTful APIsPythonKubernetesLinux system administration

Soft Skills

collaborationagile methodologyproblem-solvingcommunicationteamworkcontinuous improvementtroubleshootingdesigndevelopmentiteration

Certifications

Bachelor’s degree in a technical disciplineActive Secret security clearance