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Salary
$108k – $195k per year
Location
In office (Bethesda)
Seniority
Staff · 8+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Leidos is a defense, intelligence, civil, and health information technology enterprise. Headquartered in Reston, Virginia, the Fortune 500 company (NYSE: LDOS) operates as one of the primary IT, scientific research, and systems integration contractors for the U.S. federal government, allied defense agencies, and commercial infrastructure entities.

Leidos has an exciting opening for you, our next TS/SCI cleared DevOps Software Engineer working with a dynamic team to design, develop and deploy a state-of-the-art technology stack supporting the DOMEX Data Discovery Platform (D3P) Modernization program as well as our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the Defense Intelligence Enterprise (DIE). You will have impact as part of a mission focused, solutions oriented, and adaptive team that values inclusion, innovation, collaboration, and professional development. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely.

As a DevOps Engineer you will contribute to the design, deployment, and maintenance of a full stack containerized microservices architecture as well as technical systems administration, installation, and configuration. You will participate in fostering a DevOps culture, building strong cross functional collaboration with systems engineering, architecture, development, security, operations, and integration teams, in a dynamic and fast paced environment.

You will work closely with a multi-disciplinary team of developers, other software integrators and system administrators on the following key tasks:

  • To deploy, triage and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging

  • Enhance and maintain CI/CD and DevOps scripts and processes including AI-integrated solutions for failure analysis, security and compliance to facilitate faster development, quicker error detection and resilient deployments

  • Design, develop, and support scalable, redundant infrastructure to include physical and virtualized environments

  • Configure Kubernetes (Helm, YAML, etc.) continuous deployments using ArgoCD.

  • Collaborate with System Engineers to design solutions for new features and requirements

  • Provide technical input to systems engineering documentation and diagrams/models working in coordination/collaboration with SE team members and Architect team

  • Participate in Agile release planning, scrum of scrums, bug triage, design sessions and other meetings

  • Develop PaaS solutions for hybrid deployments and secure multi-tenant GPU sharing solutions in a the Kubernetes environments.

You bring enthusiasm, the ability to work well with people from different disciplines with varying degrees of technical experience, and meet the following qualifications:

  • BS in Engineering, Computer Science, Systems Engineering, or related field or equivalent experience with 8+ years in software development, system engineering or related field. 6+ years of experience with Master’s degree.

  • Must have an active Top Secret/SCI security clearance with the ability to obtain and maintain a TS/SCI with Polygraph security clearance

  • Possess at least one DoD 8570.01-M IAT Level II or higher certification, e.g., CCNA Security, CySA+, Security+ CE, SSCP, CISSP (or Associate)

  • Ability to obtain Privileged User Account (PUA) certification per DoD 8570 policy

  • Experienced with container/container orchestration, specifically Kubernetes and troubleshooting experience with:

  • Ingress/Gateway API

  • Multi-tenant GPU sharing

  • Helm chart design/build

  • Pod disruption budgets

  • Affinity/anti-affinity rules

  • Familiarity with external-secrets, ArgoCD, cert-manager, eck (elastic search)

GitLab pipeline development experience including:

  • Integration of GitLab CI/CD components

  • Integration of GitLab Code Quality reports

  • Integration of GitLab Code Coverage/Test reports

Knowledgeable in navigating Linux OS, specifically:

  • Knowledgeable about sysctls for K8s environments

  • FApolicyd and SELinux experience

  • Comfortable with Elastic Search, Logstash, Kibana

  • Demonstrated ability to participate in cross-functional planning, coordination, and task execution

You will wow us even more if you have some of these:

  • Experience with systems at scale

  • Experience/knowledge of key Agile processes and techniques

  • Experience with development, i.e. Bash, PowerShell, SALT, Python, Groovy, Java, etc.

  • Experience on a production/ enterprise system

Experience with any of the following technologies:

  • Kafka or other message passing systems (AMQP, JMS)

  • Kubernetes monitoring, e.g., Prometheus/ Grafana, Open Telemetry

  • SALT for deployment automation

  • Nexus

#ASBA

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:

July 2, 2026

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 $107,900.00 - $195,050.00

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.

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