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 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.

Requirements

Must-haves

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.
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
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)

Nice-to-haves

Bonus Points You’ll stand out even more if you bring:

Application prep

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Keywords to mirror

kubernetesci/cdagilepythonjava

Platform: workday
Effort: long