Senior DevSecOps Engineer AI-First Cloud Leader

Leidos

Egg Harbor City (NJ)

Hybrid

USD 87,000 - 157,000

Full time

14 days+

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Job summary

Leidos seeks a Lead DevSecOps Engineer to join the Air Traffic Business Area, supporting the Leidos Common Automation Platform (L-CAP). This role operates in a SAFe/Agile environment on mission-critical systems and requires ability to obtain a favorable Public Trust.

The position offers a hybrid work model (3 days onsite, 2 days remote) from Gaithersburg, MD; Egg Harbor Township, NJ; or Eagan, MN. You will build CI/CD pipelines, manage Kubernetes, implement IaC, and advance software supply chain

Qualifications

Bachelor’s degree in Computer Science, Information Technology, or related discipline with 4+ years of experience (or Master’s with 2+ years) or applicable experience.
Experience building and maintaining CI/CD pipelines (Jenkins, GitLab CI, or GitHub Actions).
Hands-on Kubernetes cluster management and container orchestration expertise.
Proficiency with Terraform or equivalent IaC tools.
Strong Docker/containerization experience.
Solid Linux systems administration skills.
Scripting in Bash and 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; successful background investigations.

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 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 provisioning, scaling, and configuration management tasks.
Maintain development, test, and production environments for consistency and reliability.
Implement monitoring, logging, and alerting for platform observability.
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 vulnerability scanning.
Manage artifact repositories and build provenance to ensure integrity of software deliverables.
Support developer platform capabilities including self-service provisioning, documentation, and developer experience improvements.
Embrace AI-first engineering culture by adopting AI-assisted development tools and modern practices.