- Salary
- $131k – $237k
- Location
- 5943 Undisclosed MD Customer Site 20701, United States of America
- Type
- Full-time
- Department
- Engineering
- Experience
- 2+ years
- Education
- Bachelor
- Clearance
- Required
- Source
- Workday
Description
Leidos has numerous opportunities for DevOps Engineers within our Intelligence Sector's, 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.
Job Summary:
Leidos is seeking highly experienced DevOps Engineers to support the development and evolution of a Kubernetes-native platform used to orchestrate and deploy workloads within its own cluster. This role combines backend architecture, and cloud-native technologies, requiring deep technical expertise and cross-team collaboration.
Responsibilities include:
- Own and advance a Kubernetes-native workload orchestration application.
- Develop and maintain containerized microservices
- Support infrastructure provisioning and automation via Ansible and IaC tools.
- Implement cloud-native components leveraging Go, TypeScript, and Python.
- Collaborate with engineering teams to ensure operational excellence and system integration.
- Improve platform observability and event-driven system performance.
- Maintain robust documentation and enforce internal development standards.
Basic Qualifications:
This posting is for multiple opportunities ranging in years of experience. Level of opportunity, including compensation, will be matched to a candidate’s experience
- Bachelor’s Degree in Computer Science or related discipline from an accredited college or university. Four (4) years of additional experience may be substituted for a bachelor’s degree.
- Level 0 - Bachelors and 2-7 years of experience
- Level 1 - Bachelors and 7-14 years of experience
- Level 2 - Bachelors and 14-20 years of experience
- Level 3 - Bachelors and 20 or more years of experience
- Expertise in infrastructure provisioning, Ansible CM, and cloud-native ecosystems.
- Proficiency with at least one of the following languages Go (Golang), TypeScript, or Python,
- Strong experience with Kubernetes
- Familiarity with CI/CD pipelines and Git workflows.
- Exceptional debugging, problem-solving, and communication skills.
- Clearance Required: Must have an active TS/SCI with Polygraph.
Preferred Qualifications:
- Familiarity with Atlassian tools (Jira, Bamboo, Fisheye) and Agile/CI workflows.
- Familiarity with Kafka and event-driven architecture.
- Experience with Linux/UNIX administration and SIGINT dataflows.
- Hands-on experience with Kafka, NiFi, MetalLB, MinIO in production.
- Knowledge of observability tools (Prometheus, Grafana) and Rancher Suite (Harvester, Longhorn, KubeVirt).
- Infrastructure automation using cloud-init or Terraform.
This posting is for multiple opportunities ranging in years of experience. Level of opportunity, including compensation, will be matched to a candidate’s experience
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If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
Original Posting:
May 1, 2026For 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 $131,300.00 - $237,350.00The 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.
