DevOps Software Engineer
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.