DevOps Software Engineer - TS/SCI Cleared

Leidos•Bethesda, MD

1d•Hybrid

About The Position

Leidos is seeking a TS/SCI-cleared DevOps Software Engineer to join a team building and deploying a cutting-edge technology stack for 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. The engineer will contribute to mission-critical capabilities alongside a collaborative, innovative, and growth-oriented team. The work is primarily on-site in Bethesda, MD, with a flexible schedule and occasional remote work opportunities. As a DevOps Software Engineer, you will help design, deploy, and maintain a full-stack, containerized microservices architecture. You will also support systems administration, installation, configuration, and the adoption of DevOps best practices across cross-functional engineering teams. In this fast-paced environment, you will 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.

Requirements

Bachelor’s degree in Engineering, Computer Science, Systems Engineering, or related field (or equivalent experience) with 8+ years of relevant experience; 6+ 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

Nice To Haves

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)
Familiarity with Kubernetes monitoring tools (Prometheus, Grafana)
Familiarity with GPU-based Kubernetes
Familiarity with SALT for deployment automation
Familiarity with Helm / Helmfile
Familiarity with Nexus

Responsibilities

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