DevOps Software Engineer

Leidos is seeking a TS/SCI-cleared DevOps Software Engineer to support a mission-focused modernization effort for the DOMEX Data Discovery Platform and related client OSINT tasking and collection workflows. In this hybrid role in Bethesda, MD, you will design, build, deploy, and maintain containerized microservices and the supporting infrastructure, with an emphasis on reliable Kubernetes operations and automated delivery pipelines.

The work spans Kubernetes-based big data pipeline operations, CI/CD and deployment automation, and scalable infrastructure across both physical and virtualized environments. You will also contribute to secure hybrid deployment approaches, including multi-tenant GPU sharing solutions within Kubernetes.

Key Responsibilities

• Deploy, triage, and maintain a production big data pipeline built on a microservice architecture running on Kubernetes, including an Elasticsearch backend and Kafka messaging.
• Improve and maintain CI/CD and DevOps scripts and processes, including AI-integrated solutions for failure analysis, security, and compliance to support faster development, earlier error detection, and more resilient deployments.
• Design, develop, and support scalable and redundant infrastructure across physical and virtualized environments.
• Configure continuous deployments with Kubernetes using Helm and YAML, managed through ArgoCD.
• Collaborate with System Engineers on solutions for new features and evolving requirements.
• Provide technical input to systems engineering documentation and diagrams/models in coordination with the SE team and Architect team.
• Participate in Agile release planning, scrum of scrums, bug triage, design sessions, and other project meetings.
• Develop PaaS solutions for hybrid deployments, including secure multi-tenant GPU sharing within Kubernetes environments.

Required Qualifications

• BS in Engineering, Computer Science, Systems Engineering, or related field, or equivalent experience, with 8+ years in software development, system engineering, or related work. 6+ years of experience with a Master’s degree.
• Must hold an active Top Secret/SCI security clearance and have the ability to obtain and maintain a TS/SCI with Polygraph clearance.
• Linux OS knowledge, with specific familiarity with Kubernetes environments.
• Possession of at least one DoD 8570.01-M IAT Level II certification or higher (examples listed: CCNA Security, CySA+, Security+ CE, SSCP, CISSP, or Associate).
• GitLab CI/CD pipeline development experience, including the ability to obtain Privileged User Account (PUA) certification per DoD 8570 policy.
• Container and orchestration experience, specifically Kubernetes, plus troubleshooting experience with: Ingress/Gateway API, Multi-tenant GPU sharing, Helm chart design/build, Pod disruption budgets, Affinity/anti-affinity rules, and familiarity with external-secrets, ArgoCD, cert-manager, and eck (ElasticSearch).
• Comfortable with Elastic Search, Logstash, and Kibana.
• Demonstrated ability to participate in cross-functional planning, coordination, and task execution.

Technologies and Tools

• Kubernetes, Elasticsearch, Kafka, CI/CD, Helm, YAML, ArgoCD, Linux
• GitLab, Ingress/Gateway API, external-secrets, cert-manager, eck (Elastic Search), GPU sharing, Pod disruption budgets
• Affinity/anti-affinity rules, AI-integrated solutions, PaaS, Prometheus, Grafana, Open Telemetry, SALT
• Nexus, AMQP, JMS

Benefits

• Health and Wellness programs
• Income Protection
• Paid Leave
• Retirement

Pay Range: USD 107,900 - 195,050 per year.

Original posting date: October 16, 2026.

U.S. positions notice: Leidos reasonably anticipates this job requisition will remain open for at least 3 days, with an anticipated close date no earlier than 3 days after the original posting date.