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DevOps/Software Engineer - R143

Expedition Technology
United States, Virginia, Herndon
13865 Sunrise Valley Drive (Show on map)
Aug 27, 2026
Are you a software engineer who thrives at the intersection of development and operations? Do you believe DevOps is just good engineering practice? At Expedition Technology (EXP), we're building a team of engineers who automate everything, deploy with precision, and write clean, maintainable code-all in support of mission-critical systems for the DoD and Intel communities.
We're looking for a DevOps-minded Software Engineer who can lead the charge in deploying applications into Kubernetes environments, building robust CI/CD pipelines in GitLab, and writing production-grade Python code. You won't be managing Kubernetes clusters-you'll be optimizing deployments on third-party infrastructure. You won't just be writing Helm charts-you'll be engineering scalable, observable, and resilient systems.
What You'll Do:
  • Design and implement GitLab CI/CD pipelines to automate deployment of containerized and source-built applications
  • Optimize Kubernetes deployments for performance, reliability, and maintainability
  • Build internal tools and Python-based applications to support mission workflows
  • Collaborate across teams to establish best practices in software engineering, testing, and observability
  • Mentor teammates and help grow engineering capabilities across the team
  • Contribute to the design of verification, validation, and evaluation environments
What You Bring:
  • U.S. Citizenship - for security clearance eligibility purposes
  • An active TS/SCI security clearance
  • Bachelor's degree in Computer Science, Electrical Engineering, or a related field
  • 5+ years of experience in software engineering with a strong foundation in Python
  • Ability to write clean, modular, and well-tested code using modern software engineering practices
  • Strong software engineering fundamentals and experience writing production-quality Python
  • Deep experience deploying & optimizing deployments in Kubernetes
  • Strong Docker fundamentals and experience optimizing images
  • Expertise in GitLab and GitLab CI/CD for automation and delivery
  • Familiarity with modern DevOps practices including logging, monitoring, and observability
  • A collaborative mindset and a passion for coaching and mentoring
  • Familiarity with cloud platforms (e.g., AWS) is a plus, but not the primary focus
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