DevSecOps Security Engineer

Leidos is seeking a Dev Sec Ops  Security Engineer to join the Air Traffic Business Area within the Homeland Sector, supporting the development of the Leidos Common Automation Platform (L-CAP). L-CAP is a mission-critical, future-ready automation platform built on a hybrid cloud data mesh architecture, enabling next-generation air traffic management capabilities. We are building with an AI-first engineering mindset, embracing emerging AI capabilities and modern development practices to accelerate delivery, improve software quality, and continuously evolve how we design and build mission-critical systems.

This role operates within a SAFe/Agile framework as part of an Agile Release Train (ART) delivering iterative value across the program.

This position supports government programs and requires the ability to obtain and maintain a favorable Public Trust investigation. This is a hybrid position requiring 3 days onsite and 2 days working from home, if you are located within a commutable distance (Less than 1 hour's drive one-way during normal traffic) from Gaithersburg, MD;
Eagan, MN; or Egg Harbor Township, NJ. However, if you do not reside within a commutable distance, you may be considered for a 100% remote role.

In this role, you will build and operate the automated security controls embedded in L-CAP’s delivery pipeline — the scanning, gating, signing, and hardening that make security continuous rather than periodic. You will work alongside platform and application teams to raise the security posture of every build and every container image without stalling delivery, and you will produce the pipeline evidence that supports platform security authorization.

• Implement and maintain automated security controls in CI/CD pipelines, including SAST, DAST, software composition analysis, container scanning, and infrastructure-as-code scanning.
• Enforce security gates, artifact signing, provenance verification, and SBOMs (CycloneDX/SPDX) to prevent vulnerable or unverified deployments.
• Drive container vulnerability remediation and hardening, including hardened minimal base images and elimination of critical/high findings.
• Implement Kubernetes security controls, including pod security, network policies, RBAC, admission controls, and security context constraints.
• Secure workloads through secrets management, mutual TLS (mTLS), service mesh policies, and Linux/container hardening.
• Build and maintain policy-as-code and infrastructure guardrails using OPA/Rego, Kyverno, or equivalent tools.
• Produce security evidence supporting authorization and continuous monitoring requirements.
• Partner with platform and application teams to triage vulnerabilities, remediate findings, and support security incident response and root cause analysis.
• Leverage AI-assisted development, automation, and modern engineering practices to improve security, code quality, productivity, and delivery speed.

• Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, or related field with 4+ years of relevant experience. (additional experience, education and training may be considered in lieu of degree)
• Hands‑on experience integrating SAST, DAST, software composition analysis, and container scanning into CI/CD pipelines.
• Experience securing Kubernetes and container environments, including pod security, network policies, RBAC, admission controls, and hardened/minimal base images.
• Experience with vulnerability scanning and remediation, using tools such as Nessus, Trivy, Grype, or Qualys, including CVE triage and tracking.
• Experience with secrets management (Hashi Corp Vault or equivalent) and security automation using Python, Bash, or Go.
• Experience with Git-based workflows and CI/CD…