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Captivation Software

Software Engineer 1 (Call-In Support) - Linux/Bash/Python/Java/Spring/NoSQL/Docker/Kafka/Ansible

Annapolis Junction, MD$130k–$270kmidAdded 3 days ago

About this role

Captivation Software seeks an entry-level software engineer to develop, test, and integrate applications within a mission-critical environment. You'll work across a modern tech stack including Java, Spring, Docker, Kubernetes, and messaging frameworks while requiring a Top Secret/SCI security clearance.

What you'll do

  • Develop and sustain software applications using Java and Spring Framework
  • Write and maintain Bash/Python scripts for automation and tooling
  • Design and implement containerized solutions using Docker and Kubernetes
  • Integrate with third-party and open-source products, packages, and libraries
  • Troubleshoot and resolve technical issues across the software suite
  • Collaborate on CI/CD pipelines and infrastructure-as-code implementations

What they're looking for

  • Java and Spring Framework (Spring Boot, Spring Data, Spring Integration)
  • Linux CLI and command-line tools
  • Bash and Python scripting
  • Docker and Kubernetes container technologies
  • NoSQL databases (MongoDB)
  • Kafka and RabbitMQ messaging frameworks
  • Ansible infrastructure-as-code
  • Git version control and CI/CD tools (GitLab CI, Bamboo)
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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 a project where you used Spring Boot and NoSQL to build a microservice—what challenges did you face?
  • How have you used Kubernetes and Docker in a production environment, and how did you manage container orchestration?
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