Job description

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 Compensation Salary Ranges by Career Level: Early-career: $95,600 - $147,200 Mid-career: $130,300 - $209,900 Late-career: $154,600 - $242,900 We recognize that every candidate brings a unique combination of experience and expertise. This position may be filled at multiple career levels , and compensation within the posted range will be determined based on relevant experience, education, technical expertise, specialized skills, the level at which the position is filled , and other job-related considerations.

Requirements

Must-haves

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
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
Early-career: $95,600 - $147,200
Mid-career: $130,300 - $209,900
Late-career: $154,600 - $242,900

Nice-to-haves

Familiarity with cloud platforms (e.g., AWS) is a plus, but not the primary focus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

kubernetesci/cdpythondockeraws

Platform: gem
Effort: medium