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Senior Kubernetes Software Engineer

Senior Kubernetes Software Engineer

Leidos IncColumbia, MD, United States
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Description

Leidos has a new and exciting opportunity for a Kubernetes Software Engineer in our National Security Sector's (NSS) Cyber & Analytics Business Area (CABA) . Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos , we offer competitive benefits , including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security!

Job Summary :

Leidos is seeking a technically strong, growth-minded software engineer with solid experience in Kubernetes and cloud-native development. You'll contribute to production-grade systems, help shape infrastructure and deployment workflows, and collaborate across teams to deliver scalable, resilient solutions. This role is ideal for someone who's comfortable owning technical challenges, deepening platform expertise, and building alongside talented peers in a fast-moving environment.

Responsibilities Include :

  • Design and maintain containerized applications and microservices using Kubernetes and Docker
  • Collaborate on infrastructure automation and CI / CD pipeline design and optimization
  • Troubleshoot complex systems in distributed environments and ensure platform reliability
  • Participate in architecture discussions and implementation planning
  • Improve observability tooling and performance monitoring across services
  • Contribute to technical documentation and engineering best practices
  • Work closely with cross-functional teams to deliver robust, scalable solutions

Basic Qualifications :

  • Bachelor's degree in Computer Science or related field and 8 or more years professional software engineering experience
  • 2+ years of production experience with Kubernetes
  • Proficiency in at least one language : Go, Python, or TypeScript
  • Strong understanding of containers (Docker) and deployment pipelines
  • Experience with Git version control and CI / CD tools
  • Solid grasp of distributed systems, microservices, and DevOps principles
  • Clearance Required : Must have an active TS / SCI with Polygraph.
  • Preferred Qualifications :

  • Hands-on experience with Terraform, Ansible, or similar IaC tools
  • Familiarity with GitOps practices and tools like ArgoCD, Helm
  • Experience with Grafana, Prometheus, ELK, or other monitoring / observability stacks
  • Exposure to platforms like Rancher, Harvester, or similar Kubernetes management tools
  • Experience with log aggregation and alerting frameworks
  • Contributions to open-source projects or developer communities
  • Ability to mentor junior engineers or lead technical deep-dives
  • At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today

    conmd

    kqw

    Come break things (in a good way). Then build them smarter.

    We're the tech company everyone calls when things get weird. We don't wear capes (they're a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for "how it's always been done."

    Original Posting : July 30, 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 onlyand 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.

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