Lead DevSecOps Software Developer

Leidos is seeking a Lead DevSecOPS Software Developer to join the Air Traffic Business Area within the Homeland Sector
, supporting the development of the Leidos Common Baseline
. Common Baseline is a mission-critical, future-ready automation solution built on a hybrid cloud data mesh architecture. As a member of a Scaled Agile software development organization, you will contribute to the technical execution of a program that integrates proven, globally deployed technologies with modern cloud-native and AI-enabled capabilities. You will work alongside cross-functional teams and technical leaders to deliver predictable outcomes in a highly regulated, safety-critical environment.

In this position, you will focus on building and integrating shared services, pipelines, and tooling that standardize Dev Sec Ops practices enterprise-wide. The selected candidate will combine strong integration skills with an emerging focus on AI-enabled automation to drive efficiency, consistency, and security across mission systems. This position supports government programs and requires the ability to obtain and maintain a favorable Public Trust investigation
.

This position is located in either Gaithersburg, MD or Egg Harbor Township, NJ
. This is an opportunity to contribute to projects that impact millions of air travelers.

This is a hybrid position requiring 3 days onsite and 2 days working from home.

This role focuses on building and modernizing real-time, safety-critical systems using a combination of traditional systems engineering and AI-augmented software development practices. You’ll work on software that directly supports national air traffic operations, applying AI tools to accelerate development, improve quality, and enhance system reliability.

• Design, build, and maintain a Common Automation Platform supporting CI/CD, security, and infrastructure automation
• Develop reusable automation frameworks, templates, and pipelines for enterprise-wide adoption
• Integrate platform capabilities with internal and external systems via APIs, microservices, and event-driven architectures
• Embed security controls and Dev Sec Ops  best practices into platform services and workflows
• Implement infrastructure-as-code (IaC) to provision and manage scalable environments
• Enable self-service capabilities for development teams through automation and platform tooling
• Implement automated security testing including SAST, DAST, container, and dependency scanning
• Support containerized workloads using Docker and Kubernetes
• Apply AI/ML capabilities to enhance automation (e.g., intelligent pipeline optimization, anomaly detection, auto-remediation)
• Collaborate with engineering, security, and operations teams to drive platform adoption and standardization
• Monitor platform performance, reliability, and usage metrics, and continuously improve capabilities
• Ensure compliance with federal security standards and organizational policies

• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
• 4+ years of relevant experience or a Master’s Degree and 2+ years
• Experience building or supporting shared platforms, developer platforms, or automation frameworks
• Experience with CI/CD tools such as Jenkins, Git Lab CI, or Git Hub Actions
• Experience with cloud platforms such as AWS
• Proficiency in scripting or programming languages such as Python or Bash
• Experience with containerization (Docker) and orchestration (Kubernetes
• Experience with security tools and practices including vulnerability scanning, secrets management, and identity/access management
• Experience with IaC tools such as Terraform
• Familiarity with infrastructure-as-code and configuration management tools
• Strong problem-solving skills and ability to work in a collaborative team environment
• Ability to obtain and maintain a Public Trust
• U.S. citizenship required
• Must be able to successfully complete future background investigations as required by the government customer

• Experience designing or implementing internal developer platforms (IDP) or platform engineering concepts
• Experience applying AI/ML or…