LE DevOps Software Engineer - TS/SCI Cleared Leidos · Bethesda · DevOps & Release $87,100–$157,450 13d ago

Devopsroles; Bethesda (MD); On-site; USD 87,000 - 157,000; Full time

Job summary

Leidos is seeking a TS/SCI-cleared DevOps Software Engineer to join a high-energy team supporting the DOMEX Technology Platform and D3P modernization efforts in Bethesda, MD. On-site work with some flexible remote options, contributing to a production big-data pipeline and CI/CD automation.

You will collaborate with systems engineers, developers, security, and operations while deploying containerized microservices, configuring Kubernetes with Helm, and shaping scalable infrastructure across

Qualifications

• Bachelors in Engineering, CS, Systems Engineering or related field, 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 and container/Kubernetes experience.
• Experience with CI/CD orchestration and GitLab.
• Familiarity with Elasticsearch, Logstash, and Kibana.
• Demonstrated success in cross-functional engineering environments.

Responsibilities

• Design, deploy, and maintain a full-stack, containerized microservices architecture.
• Support systems administration, installation, configuration, and DevOps adoption across teams.
• Deploy, triage, and maintain production pipelines built on Kubernetes, Elasticsearch, and Kafka.
• Enhance CI/CD pipelines and automation to accelerate development and reliability.
• Architect scalable, redundant infrastructure across physical and virtual environments.
• Use Helm to configure Kubernetes deployments for new features.
• Collaborate with Systems Engineers on new capabilities and document engineering work.

Skills

Linux

Kubernetes

CI/CD pipelines

GitLab

Elasticsearch

Logstash

Kibana

Cross-functional teamwork

Education

Bachelor's degree

Master's degree

Tools

Kubernetes Helm

Kafka

Prometheus

Grafana

Nexus

Job description

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

#NMECDTP-ALL

#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 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.