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Captivation Software

Software Engineer - Python/FASApi/JavaScript/JSON/CSS/MongoDB/Docker

Annapolis Junction, MD$130k–$270kmidAdded 1 month ago

About this role

Captivation Software seeks an experienced software engineer to develop and support SIGINT and Cyber Solutions infrastructure. This role requires a TS/SCI clearance and 7+ years of full-stack development experience with Python, FASApi, JavaScript, and modern containerization technologies.

What you'll do

  • Develop and maintain REST services and backend infrastructure for SIGINT and Cyber Solutions
  • Build full-stack applications across frontend and backend systems
  • Query and manage MongoDB and Elasticsearch databases
  • Deploy and manage applications in Docker/Compose and containerized environments
  • Collaborate using GitLab and Jira in an agile development workflow
  • Provide customer support and quick-response infrastructure services

What they're looking for

  • Python and FASApi
  • JavaScript, JSON, and CSS
  • MongoDB and Elasticsearch querying
  • Docker and Docker Compose
  • REST API development
  • GitLab and Jira
  • Full-stack development (frontend and backend)
  • AI-assisted development

Benefits

  • Annual salary: $130,000 - $270,000 based on experience
  • Government security clearance position
  • Mission-focused work supporting national security
  • Direct hire opportunity (no staffing agencies)
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Captivation Software

Captivation Software builds high-performance computing and secure analytics infrastructure for mission-critical government programs, specializing in HPC testing, enterprise dataflow architectures, and cleared defense systems. The company is hiring senior test engineers, systems engineers, and technical leaders with deep expertise in Linux, cloud infrastructure, and security clearances to validate systems and architect solutions for intelligence community operations.

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Likely interview questions

  • Walk us through your experience building REST APIs with FastAPI and Python. Can you describe a specific project where you designed and implemented one?
  • Tell us about your experience working with MongoDB and Elasticsearch. How have you optimized queries or managed indexes in production environments?
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