DevSecOps Security Engineer

Leidos is seeking a DevSecOps 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 hours 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-CAPs 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.

• Bachelors 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 (HashiCorp Vault or equivalent) and security automation using Python Bash or Go.
• Experience with Git-based workflows and CI/CD tooling such as GitLab CI GitHub Actions or Jenkins.
• Working knowledge of NIST 800-53 automated security evidence and AWS or Azure cloud security.
• Understanding of network security including segmentation and default-deny policies.
• U.S. citizenship required with the ability to obtain and maintain a Public Trust and meet government background investigation requirements.
• Must meet FAA facility and information system access requirements including continuous U.S. residency for at least 3 of the prior 5 years.

Preferred / Desired Qualifications

• Security CE CySA or equivalent DoD 8570 IAT Level II certification.
• Certified Kubernetes Administrator (CKA) or Certified Kubernetes Security Specialist (CKS)
• Knowledge of software supply chain security including SLSA Sigstore/cosign in-toto and FIPS 140-3.
• Experience with policy-as-code (OPA/Rego Kyverno) and infrastructure-as-code security scanning (Terraform CloudFormation).
• Experience securing Kubernetes/OpenShift environments including service mesh security (Istio Linkerd) and security context constraints.
• Experience with GitOps deployment using ArgoCD Flux or equivalent.
• Experience in aviation FAA or other safety-critical environments.
• Experience with SAFe or large-scale Agile delivery.

Why Leidos

Youll work on systems where performance precision and reliability matter every second. This is not experimental AI for prototypes. This is disciplined responsible AI applied to mission-critical software that supports national infrastructure.

If youre excited by solving complex problems in regulated real-world environments and using AI as a force multiplier rather than a shortcut wed like to talk.

ATMC

If youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.