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Kubernetes Engineer - Leidos - Remote

Remote, USA Full-time Posted 2026-06-17
Leidos is seeking a Kubernetes Engineer to provide mission critical system support to our customer. This role will work closely with Infrastructure engineering, network engineering, and SecDevOps engineering, as well as other technology stakeholders to maintain, develop and support the AGUN program executing Agile methodologies within the SAFe framework. The Infrastructure I/T Engineer will work collaboratively within an AGUN engineering team to deploy and operate systems and help automate and streamline operations and processes. Build and maintain tools for deployment, monitoring and operations, and troubleshoot and resolve issues in dev, test, and production environments.

CLEARANCE REQUIREMENT: Must currently possess and be able to maintain an active DoD SECRET security clearance. (ship required)

Primary Responsibilities:

  • Managing, building, configuring, administering, operating, and maintaining infrastructure components that comprise the AGUN INC1 solution with an emphasis on Kubernetes platforms and related infrastructure
  • Developing and maintaining scripts to automate tool and application container deployment to a Kubernetes environment and other tasks
  • Development and maintenance of Linux virtual machines that operate as Kubernetes nodes within a distributed Kubernetes cluster
  • Scripting and maintaining all environments including development, test, pre-production, and production.
  • Working with other project teams to integrate their products into the I/T infrastructure
  • Assist with the definition of enterprise Continuous Integration/Continuous Deployment processes and best practices related to container-based applications
  • Developing automated testing to verify the correction installation, deployment, and operation of I/T infrastructure
Basic Qualifications:
  • Setup, configure, and maintain Kubernetes services in support of AGUN engineers to include Kubernetes nodes, control plane, clusters, and pods
  • Require active DoD IAT Level II (i.e. Security+) certification or equivalent prior to start.
  • Troubleshoot user issues with I/T Infrastructure Services, escalating when necessary
  • Manage infrastructure configurations across all the I/T Services provided in support of a Kubernetes platform
  • Apply security controls and hardening to a clustered Kubernetes platform and associated infrastructure
  • Document frequently asked questions and create/update knowledge base articles for developers regarding use of I/T Infrastructure services
  • Candidate must have BS with 8-12 years of prior relevant work experience or Masters with 6-10 years of prior relevant work experience. Will consider work experience in lieu of a degree.
Preferred Qualifications:
  • Understands configuration management tools such as Bitbucket and Nexus.
  • Strong knowledge with Agile development methodologies and the Atlassian suite of tools
  • Strong knowledge of CI/CD integration using Gitlab and Git
  • Experience with Languages including Python, YAML, Go, and Unix shell Scripting
At Leidos, we don't want someone who "fits the mold"-we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, "what's next?" before the dust settles on "what's now."

If you're already scheming step 20 while everyone else is still debating step 2... good. You'll fit right in.

Original Posting: September 4, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range: Pay Range $104,650.00 - $189,175.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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