Lead DevSecOps Engineer: AI-First Platform

Leidos; United States; Hybrid; USD 87,000 - 157,000; Full time

Job summary

Leidos seeks a Lead DevSecOps Engineer to advance the Leidos Common Automation Platform (L‑CAP) within the Air Traffic Business Area. The role operates in a SAFe/Agile environment, building CI/CD pipelines, managing Kubernetes, and integrating security into automation across hybrid cloud environments.

Locations include Gaithersburg, MD; Egg Harbor Township, NJ; or Eagan, MN, with a 3-onsite/2-remote schedule if within commutable distance; remote work possible if distance is not commutable.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related discipline with 4 or more years of experience (or Master's degree with 2 or more years of experience) or equivalent experience in lieu of degree.
• 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 infrastructure-as-code 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
• Successful completion of background investigations as required by the government

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 (SAST, DAST, SCA) 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
• Manage development, test, and production environments ensuring consistency and reliability
• Implement monitoring, logging, and alerting solutions 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 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, automation, and modern engineering practices that improve productivity, code quality, and delivery velocity

Skills

CI/CD pipelines

Kubernetes management

Terraform IaC

Docker/containerization

Linux administration

Scripting (Bash, Python)

Security scanning tools

SAFe/Agile

Artifact management/SBOM

GitOps basics (ArgoCD/Flux)

Public Trust eligibility

US citizenship

Education

Bachelor's degree in Computer Science or related discipline

4+ years experience or Master's with 2+ years

Tools

Jenkins

GitLab CI

GitHub Actions

Kubernetes

Terraform

Docker

Bash

Python

Job description

Leidos seeks a Lead DevSecOps Engineer to advance the Leidos Common Automation Platform (L‑CAP) within the Air Traffic Business Area. The role operates in a SAFe/Agile environment, building CI/CD pipelines, managing Kubernetes, and integrating security into automation across hybrid cloud environments.

Locations include Gaithersburg, MD; Egg Harbor Township, NJ; or Eagan, MN, with a 3-onsite/2-remote schedule if within commutable distance; remote work possible if distance is not commutable.