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Job Description

Leidos is seeking a TS/SCI cleared DevOps Software Engineer to help modernize a containerized microservices platform in a mission-focused environment.

Responsibilities

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

Requirements

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

Technologies

  • Kubernetes, Elasticsearch, Kafka, CI/CD, Helm, YAML, ArgoCD, Linux
  • GitLab, Ingress/Gateway API, external-secrets, cert-manager, eck (Elastic search)
  • Elastic Search, Logstash, Kibana
  • 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

You may also bring

  • Experience with systems at scale
  • Experience/knowledge of key Agile processes and techniques
  • Experience with development, such as Bash, PowerShell, SALT, Python, Groovy, Java, etc.
  • Experience on a production/enterprise system
  • Experience with message passing systems such as Kafka, AMQP, or JMS
  • Experience with Kubernetes monitoring, such as Prometheus/Grafana and Open Telemetry
  • Experience with SALT for deployment automation
  • Experience with Nexus

Location: Bethesda, MD (hybrid)

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

Posting date: October 16, 2026

Pay range (U.S.): 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.

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