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Captivation Software

Software Engineer 2 (Hybrid) - Java/Angular/Gitlab/Docker/Kubernetes/Elasticsearch

Annapolis Junction, MD$130k–$270kfull-timemidAdded today

About this role

Mid-level full-stack software engineer role supporting a Java, Angular, and Elasticsearch-based tool in a hybrid setting. Requires Top Secret/SCI clearance and 14 years of software engineering experience with modern containerization and CI/CD technologies.

What you'll do

  • Develop and maintain full-stack features using Java backend and Angular frontend
  • Build and optimize Elasticsearch implementations including language analyzers
  • Design and deploy containerized applications using Docker and Kubernetes
  • Manage CI/CD pipelines and version control through GitLab
  • Collaborate on projects supporting national security missions
  • Participate in code reviews and architectural decision-making

What they're looking for

  • Java development
  • Angular framework
  • Elasticsearch
  • Docker containerization
  • Kubernetes orchestration
  • GitLab CI/CD
  • Full-stack web development
  • Computer assisted translation tools (LILT)

Benefits

  • Annual salary: $130,000–$270,000 based on experience
  • Up to 20% 401(k) contribution vested immediately with no matching requirement
  • HSA contribution of $3,600 annually
  • 6 weeks paid time off
  • Above-market compensation rates
  • Hybrid work arrangement
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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 architecting and deploying microservices using Docker and Kubernetes in production environments.
  • Describe your most complex Elasticsearch implementation—what optimizations did you make and why?
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