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Salary
$87k – $157k per year
Location
Remote (United States)
Seniority
Middle · 4+ years exp
Visa
H-1B filings in 12 months: 50 · for this role: 24 · green card filings: 24
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 5, 2026. Leidos scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Leidos is an American technology and engineering services company created in 2013 when Science Applications International Corporation split in two, with Leidos taking the technical services and solutions business. It is one of the largest suppliers to the United States government, working across defence programmes, intelligence systems, civil agencies including the Federal Aviation Administration, and healthcare services for the Department of Veterans Affairs. Headquartered in Reston, Virginia, the company also builds security detection products for airports and borders, and has concentrated recent investment on trusted artificial intelligence and autonomy for mission environments.

Leidos is looking for our next TS/SCI-cleared DevOps Software Engineer to join a high-energy team building and deploying a cutting-edge technology stack in support of the DIA-NMEC (National Media Exploitation Center) DOMEX Technology Platform (DTP). This role is part of a 10-year program supporting the DOMEX Data Discovery Platform (D3P) Modernization effort, where you’ll contribute to mission-critical capabilities alongside a collaborative, innovative, and growth-oriented team.

While the majority of work is performed on-site at our customer location in Bethesda, MD, we offer a flexible schedule and occasional opportunities for remote work.

What You’ll Do

As a DevOps Software Engineer, you’ll help design, deploy, and maintain a full-stack, containerized microservices architecture. You’ll also support systems administration, installation, configuration, and the broader adoption of DevOps best practices across cross-functional engineering teams. In this fast-paced environment, you’ll collaborate closely with systems engineering, architecture, development, security, operations, and integration teams.

You will work with a multidisciplinary group of developers, integrators, and system administrators to:

  • Deploy, triage, and maintain a production big-data pipeline built on Kubernetes, Elasticsearch, and Kafka
  • Enhance and maintain CI/CD pipelines and DevOps automation to accelerate development and improve reliability
  • Design and support scalable, redundant infrastructure across physical and virtual environments
  • Use Helm to configure Kubernetes deployments for new features and evolving requirements
  • Partner with Systems Engineers to architect solutions for new capabilities
  • Contribute technical input to engineering documentation, diagrams, and models
  • Participate in Agile release planning, scrums, design sessions, bug triage, and related team activities

What You Bring

You’re enthusiastic, collaborative, and comfortable working with teammates across a range of technical backgrounds. You also meet the following qualifications:

  • Bachelor’s degree in Engineering, Computer Science, Systems Engineering, or related field (or equivalent experience) with 4-8 years of relevant experience; 4+ years with a Master’s
  • Active TS/SCI clearance and ability to obtain/maintain a TS/SCI with Polygraph
  • Strong Linux proficiency
  • Hands-on experience with containers and Kubernetes
  • Experience with CI/CD orchestration and GitLab
  • Familiarity with Elasticsearch, Logstash, and Kibana
  • Demonstrated success working in cross-functional engineering environments

Bonus Points

You’ll stand out even more if you bring:

  • Experience operating systems at scale
  • Knowledge of Agile methodologies
  • Development experience (Bash, PowerShell, SALT, Python, Groovy, Java, etc.)
  • Experience supporting enterprise or production systems
  • Familiarity with:
    • Kafka or other messaging systems (AMQP, JMS)
    • Kubernetes monitoring tools (Prometheus, Grafana)
    • GPU-based Kubernetes
    • SALT for deployment automation
    • Helm / Helmfile
    • 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:

October 5, 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 $87,100.00 - $157,450.00

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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