
10,000+ employees
Founded 1969
🔒 Cybersecurity
🔬 Science
Defense • Cybersecurity • Science
Leidos is a leading systems integrator in science, technology, and engineering, providing solutions that transform and enable the missions of its customers. The company operates across various markets, including aviation, defense, energy, government, healthcare, intelligence, science, and space. Leidos is involved in AI, digital modernization, cyber operations, and integrated and mission software systems. With a commitment to diversity, equity, inclusion, and sustainability, Leidos also engages in charitable efforts and community enrichment programs. Additionally, it contributes to developing solutions for counter-unmanned aerial systems and electric vehicle infrastructure for military applications.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $107.9k - $195.1k / year
⏰ Full Time
🟠 Senior
🔴 Lead
⛑ DevOps & Site Reliability Engineer (SRE)
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10,000+ employees
Founded 1969
🔒 Cybersecurity
🔬 Science
Defense • Cybersecurity • Science
Leidos is a leading systems integrator in science, technology, and engineering, providing solutions that transform and enable the missions of its customers. The company operates across various markets, including aviation, defense, energy, government, healthcare, intelligence, science, and space. Leidos is involved in AI, digital modernization, cyber operations, and integrated and mission software systems. With a commitment to diversity, equity, inclusion, and sustainability, Leidos also engages in charitable efforts and community enrichment programs. Additionally, it contributes to developing solutions for counter-unmanned aerial systems and electric vehicle infrastructure for military applications.
• Design, implement, and maintain automated CI/CD pipelines that carry code from development through security scanning, compliance validation, and deployment into Navy and DoD environments • Build and maintain hardened Kubernetes environments aligned to DISA STIG requirements across cloud and restricted network deployment contexts • Automate security artifact generation including SBOM production, CVE scanning, and continuous compliance validation • Drive adoption of Infrastructure as Code, GitOps practices, and controls-as-code across the team • Leverage AI tooling to accelerate pipeline development, vulnerability triage, compliance remediation, and operational documentation • Partner closely with software engineers, systems engineers, and ISSEs to embed security and compliance requirements from the start of development • Maintain and evolve deployment infrastructure across multiple secure environments, including cloud and air-gapped or intermittently connected contexts • Support ATO processes through automated evidence generation, documentation as code, and direct collaboration with the security team • Establish and promote standards for pipeline design, container security, secrets management, and deployment consistency • Contribute to feature development when team capacity requires, applying security-first development practices to application code • Maintain operational documentation including runbooks, deployment guides, and architecture diagrams as version-controlled artifacts
• Must have and maintain a Secret security clearance • BS degree and 4+ years of professional DevSecOps or DevOps engineering experience, 8+ years of total relevant experience • Hands-on experience designing and maintaining CI/CD pipelines using GitLab CI; experience with additional pipeline tools a plus • Experience with Kubernetes administration and hardening in DoD or compliance-driven environments — RKE2 or K3S experience strongly preferred • Experience implementing DISA STIG compliance in containerized and Linux environments (RHEL or Rocky Linux) • Proficiency with Infrastructure as Code tooling, particularly Terraform • Experience with Helm chart authoring and Kubernetes deployment management • Experience with automated security scanning, SBOM generation, and CVE triage and remediation • Scripting proficiency in Python or Bash for pipeline and operational automation • Demonstrated use of AI tooling to accelerate engineering workflows • Background contributing to application feature development alongside infrastructure work • Ability to operate independently and manage workload across competing priorities in a small, fast-moving team
• Health and Wellness programs • Income Protection • Paid Leave • Retirement
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