Lead DevSecOps Platform Engineer / Scrum Master

About the role

Leidos is seeking a Lead DevSecOps Platform Engineer / Scrum Master to join the Air Traffic Business Area within the Homeland Sector, supporting next-generation flight service and air traffic systems. This work supports the FAA’s initiative to replace aging legacy flight service infrastructure with scalable, cloud-based platforms that improve safety and operational efficiency, particularly in remote and high-dependency aviation environments.

This is a dual-responsibility position on a Scaled Agile team, split roughly 50% Scrum Master and 50% DevSecOps Platform Engineer. As Scrum Master, you will guide Agile/SAFe processes, facilitate team ceremonies, remove impediments, and partner with the Product Owner, Systems Engineers, and developers to align priorities and drive delivery. As Lead DevSecOps Platform Engineer, you will design, implement, and continuously improve secure software delivery platforms and automated pipelines, integrating security throughout the software development lifecycle.

The platform engineering portion of this role focuses on the software delivery platform, GitLab administration, CI/CD pipelines, deployment automation, and developer enablement. Cloud infrastructure, Kubernetes administration, and cloud operations are handled in partnership with the Cloud Systems Owner team. You will work with software engineers, systems engineers, cybersecurity personnel, Product Owners, and solution architects to ensure software is developed, validated, and deployed rapidly while meeting the security and compliance requirements of mission-critical FAA applications.

This position supports government programs and requires the ability to obtain and maintain a favorable Public Trust investigation.

Primary Responsibilities

• Facilitate and lead all Scrum ceremonies, including Sprint Planning, Daily Scrums, Retrospectives, and Reviews/Demos, using relevant metrics and data to drive continuous improvement.
• Actively remove impediments by resolving blocking issues related to feature development, build and dependency challenges, operational support conflicts, and process.
• Provide timely status, risk, and dependency reporting to the Release Train Engineer and management, including sprint execution, team availability, and issues impacting delivery.
• Own the implementation and operation of software delivery pipelines, from build through production release, developing, administering, and maintaining automated build, test, deployment, and release workflows using GitLab CI/CD, GitLab Runners, AWS CodePipeline, AWS CodeBuild, and related automation technologies.
• Administer GitLab platform infrastructure (projects, groups, runners, repositories, and permissions) and develop reusable CI/CD templates and pipeline libraries adopted across Agile teams.
• Design and maintain automated deployment strategies for Kubernetes-based applications utilizing Helm, GitOps methodologies, and progressive deployment techniques.
• Configure and administer GitLab Container Registry, package repositories, artifact repositories, and software dependency management solutions supporting secure software delivery.
• Collaborate with Cloud Systems Owners to ensure cloud platforms effectively support automated software deployment, scalability, operational monitoring, and application reliability.
• Partner with software development teams to improve build reliability, deployment consistency, release quality, and developer productivity through automation and self-service engineering capabilities.
• Troubleshoot build failures, deployment issues, pipeline performance, dependency management, and software delivery problems across development, integration, and production environments.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Engineering, or related field with 4–8 years of relevant experience, or Master's degree with 2–6 years of experience.
• Experience working as a Scrum Master within the Agile Scrum framework, supporting Agile and SAFe software development organizations.
• Experience designing, implementing, and maintaining secure CI/CD pipelines supporting enterprise software development.
• Experience developing and administering GitLab CI/CD pipelines, including GitLab Runners, pipeline templates, variables, artifacts, deployment workflows, and pipeline optimization.
• Experience administering GitLab repositories, merge requests, branching strategies, repository permissions, and source code management workflows.
• Experience developing Infrastructure as Code using Terraform, AWS CloudFormation, or similar technologies.
• Experience deploying containerized applications (Docker, Kubernetes) using Helm or comparable tools.
• Experience developing automation using Bash, Python, or similar scripting languages.
• Familiarity with Linux administration and command-line tools.
• Experience with AWS cloud services supporting modern application deployments.
• Knowledge of software supply chain security, secrets management, dependency management, and secure software development practices.
• Experience integrating automated testing and security scanning into CI/CD pipelines.

·       Experience working as a Scrum Master within the Agile Scrum framework

• Experience supporting Agile and SAFe software development organizations.
• Strong troubleshooting, communication, collaboration, and problem-solving skills.
• Ability to obtain an SF-85 Public Trust suitability determination.
• US Citizenship.

Preferred Qualifications

• Experience supporting FAA, DoD, or other Federal software development programs.
• Knowledge of DevSecOps methodologies and modern cloud-native software engineering practices.
• Experience implementing GitOps deployment methodologies using GitLab and Kubernetes.
• Experience with security scanning tools such as GitLab Ultimate Security, SonarQube, Checkmarx, Veracode, Snyk, Trivy, or similar technologies.
• Experience administering GitLab Container Registry, Nexus Repository Manager, Artifactory, or comparable artifact management solutions.
• Experience supporting cloud-native application development using Kubernetes and AWS.
• Experience implementing automated testing, quality gates, and deployment approvals within CI/CD pipelines.
• Scrum Master or SAFe Agile certifications, or comparable industry certifications.
• AWS, GitLab, Kubernetes, or Terraform certifications, or comparable industry certifications.

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

Original Posting

October 29, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range

Pay Range $87,100.00 - $157,450.00

The Leidos pay range for this job level is a general guideline only and 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.