Lead DevSecOps Engineer: AI-First Platform & Cloud

Leidos

Gaithersburg (MD)

Hybrid

USD 87,000 - 157,000

Full time

7 days ago

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Benefits offered by this job

Hybrid work arrangement

Job summary

Leidos is seeking a Lead DevSecOps Engineer to join the Air Traffic Business Area and help build the L-CAP platform. The role blends hybrid cloud, AI-first engineering, and SAFe/Agile delivery to accelerate secure software delivery for government programs.

The position requires a Public Trust clearance, U.S. citizenship, and the ability to work 3 days onsite and 2 days remote within commutable distances of Gaithersburg, MD; Egg Harbor Township, NJ; or Eagan, MN, with remote options if not within

Qualifications

Bachelor’s degree in Computer Science, Information Technology, or related discipline with 4+ years of experience or Master’s with 2+ years.
Experience building and maintaining CI/CD pipelines (Jenkins, GitLab CI, or GitHub Actions).
Hands-on experience with Kubernetes cluster management and container orchestration.
Proficiency with Terraform or equivalent IaC tools.
Strong experience with Docker and containerization technologies.
Solid Linux systems administration skills.
Proficiency in scripting languages (Bash, Python) for automation.
Experience with security scanning tools and DevSecOps practices.
Understanding of networking, load balancing, and service mesh concepts.
Familiarity with Agile/SAFe delivery and DevOps culture.
Experience with software supply chain security tools (Sigstore, SLSA, SBOM generation).
Knowledge of artifact management systems and build provenance tracking.
Experience supporting internal developer platforms and developer experience initiatives.
Ability to obtain and maintain a Public Trust; U.S. citizenship required.

Responsibilities

Build and maintain CI/CD pipelines enabling continuous integration, testing, and delivery for L-CAP.
Manage Kubernetes clusters and container orchestration for platform service deployments.
Develop and maintain infrastructure-as-code (IaC) using Terraform for repeatable environments.
Integrate security scanning tools into CI/CD pipelines for shift-left security.
Manage container images, registries, and deployment artifacts across environments.
Automate operational tasks including provisioning, scaling, and configuration management.
Collaborate with development teams to improve build times, deployment frequency, and reliability.
Support incident response and troubleshooting of infrastructure and deployment issues.
Implement software supply chain security controls including SBOM generation, artifact signing, and dependency vulnerability scanning.
Manage artifact repositories and build provenance ensuring integrity of software deliverables throughout the pipeline.
Support developer platform capabilities including self-service environment provisioning, documentation, and developer experience improvements.
Embrace an AI-first engineering culture by actively adopting AI-assisted development tools and modern practices.