Description
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 DevSecOps 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.
What You’ll Do
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 DevSecOps 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
Core Technical Qualifications:
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, GitLab CI, or GitHub 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
Preferred / Desired Qualifications
Experience designing or implementing internal developer platforms (IDP) or platform engineering concepts
Experience applying AI/ML or intelligent automation within DevSecOps pipelines
Familiarity with MLOps concepts and frameworks
Knowledge of federal security frameworks such as NIST RMF, NIST 800-53, or CIS benchmarks
Experience developing and integrating RESTful APIs and distributed systems
Experience with observability and monitoring tools (e.g., Prometheus, Grafana, ELK stack)
Experience with serverless and event-driven architectures
Relevant certifications (e.g., AWS Certified DevOps Engineer, Certified Kubernetes Administrator, Security+)
Why Leidos?
You’ll 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 you’re excited by solving complex problems in regulated, real-world environments — and using AI as a force multiplier rather than a shortcut — we’d like to talk.
ATMC
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.
April 15, 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 $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.
About Leidos
Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.
Pay and Benefits
Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.
Securing Your Data
Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at [email protected].
If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
