DevOps Software Engineer

Leidos • Bethesda, MD

3d • Hybrid

About The Position

Leidos is hiring a TS/SCI-cleared DevOps Software Engineer to help design, develop, and deploy a technology stack supporting the DOMEX Data Discovery Platform (D3P) Modernization program. The work supports the client’s mission to centralize and standardize the tasking, collection, processing, exploitation, and dissemination of Open Source Intelligence across the Defense Intelligence Enterprise.

The engineer will contribute to the design, deployment, and maintenance of a full-stack, containerized microservices architecture, along with technical systems administration, installation, and configuration. The role works closely with developers, software integrators, system administrators, systems engineers, architects, security, operations, and integration teams, and contributes to a collaborative DevOps culture. Most work is on-site at the client location in Bethesda, Maryland; some tasks may occasionally be performed remotely, and a flexible schedule is offered.

Requirements

• Bachelor’s degree in Engineering, Computer Science, Systems Engineering, or a related field, or equivalent experience.
• Eight or more years of experience in software development, systems engineering, or a related field with a bachelor’s degree, or six or more years with a master’s degree.
• Active Top Secret/SCI clearance and ability to obtain and maintain a TS/SCI with polygraph clearance.
• Knowledge of Linux operating systems and Kubernetes environments.
• At least one DoD 8570.01-M IAT Level II or higher certification, such as CCNA Security, CySA+, Security+ CE, SSCP, or CISSP (or Associate).
• GitLab CI/CD pipeline development experience.
• Ability to obtain Privileged User Account (PUA) certification per DoD 8570 policy.
• Experience with containers and container orchestration, specifically Kubernetes, including troubleshooting ingress or Gateway API, multi-tenant GPU sharing, Helm chart design and development, pod disruption budgets, and affinity or anti-affinity rules.
• Familiarity with external-secrets, ArgoCD, cert-manager, and ECK (Elasticsearch).
• Comfort working with Elasticsearch, Logstash, and Kibana.
• Demonstrated ability to participate in cross-functional planning, coordination, and task execution.

Nice To Haves

• Experience with systems at scale.
• Experience or knowledge of Agile processes and techniques.
• Development experience with technologies such as Bash, PowerShell, SALT, Python, Groovy, or Java.
• Experience on a production or enterprise system.
• Experience with Kafka or other message-passing systems such as AMQP or JMS.
• Experience with Kubernetes monitoring tools such as Prometheus, Grafana, or OpenTelemetry.
• Experience with SALT for deployment automation.
• Experience with Nexus.

Responsibilities

• Deploy, triage, and maintain a production big data pipeline using a microservices architecture with Kubernetes, an 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.
• Design, develop, and support scalable, redundant infrastructure in physical and virtualized environments.
• Configure continuous deployments for Kubernetes using tools and formats such as Helm and YAML, with ArgoCD.
• Collaborate with systems engineers to design solutions for new features and requirements.
• Contribute technical input to systems engineering documentation and diagrams or models in coordination with systems engineering and architecture team members.
• Participate in Agile release planning, scrum of scrums, bug triage, design sessions, and other meetings.
• Develop Platform as a Service (PaaS) solutions for hybrid deployments and secure multi-tenant GPU sharing in Kubernetes environments.
• Coordinate and execute tasks across functional teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level