Systems Engineering Manager
Role details
Job location
Tech stack
Job description
Leidos is seeking an Systems Engineering Manager 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 automion solution built on a hybrid cloud da mesh architecture. You will lead a multidisciplinary team of 12-15 systems engineers, developers, and DevSecOps personnel within a Scaled Agile Framework (SAFe) environment. This role serves as a front-line manager within an Agile Release Train (ART), responsible for delivery execution, staffing, and alignment with program objectives supporting mission-critical systems. You will work alongside cross-functional teams and technical leaders to deliver predictable outcomes in a highly reguled, safety-critical environment. This is an opportunity to contribute to projects th impact millions of air travelers.
This position supports government programs and requires the ability to obtain and maintain a favorable Public Trust investigion
This position is loced in either Gaithersburg, MD or Egg Harbor Township, NJ.
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 combinion of traditional systems engineering and AI-augmented software development practices. You'll work on software th directly supports nional air traffic operions, applying AI tools to accelere development, improve quality, and enhance system reliability.
Wh You'll Do
- Lead and manage a cross-functional team supporting SAFe Agile teams within an Agile Release Train (ART).
- Perform staffing and hiring activities, including interviewing and evaluing candides to maintain high-performing Agile teams.
- Serve as Control Account Manager (CAM) for cost, schedule, and performance management.
- Develop cost estimes, workload projections, and Basis of Estimes (BOEs) for program execution and proposals.
- Interface with customers on cost, schedule, technical performance, and resource management.
- Plan and coordine work using Program Increment (PI) objectives, iterion goals, and Agile metrics to ensure delivery alignment.
- Partner with Release Train Engineer (RTE), Product Owners, and Product Management to support program priorities.
- Support Agile ceremonies including PI Planning, sprint events, ART syncs, and Inspect & Adapt workshops.
- Track and improve team performance using Agile metrics (velocity, throughput, predictability).
- Identify and remove impediments; manage risks and cross-team dependencies.
- Support DevSecOps practices including CI/CD, automion, and continuous integrion.
- Provide technical oversight and manage subcontractor support as needed.
- Conduct performance reviews and support employee development.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a reled technical field (or equivalent experience)
- 5+ years of relevant experience OR a Master's Degree with 3+ years of experience
- 2+ Years experience managing technical teams
- Hands-on experience building and supporting microservices-based systems
- Experience in systems engineering, software development, or DevSecOps in full lifecycle environments.
- Experience working in SAFe or similar Agile frameworks.
- Strong communicion and leadership skills.
- Ability to obtain and maintain a Public Trust
- U.S. citizenship required
- Must be able to successfully complete future background investigions as required by the government customer
Preferred / Desired Qualificions
- SAFe certificion (SA, SSM, or SP).
- Experience with Earned Value Management (EVM) and cost account management.
- Background in cost estiming and program execution.
- Experience with Agile metrics and large-scale system integrion.
- Familiarity with FAA/NAS or similar mission-critical environments.
Why Leidos?
You'll work on systems where performance, precision, and reliability mter - every second. This is not experimental AI for prototypes. This is disciplined, responsible AI applied to mission-critical software th supports nional infrastructure.
If you're excited by solving complex problems in reguled, real-world environments - and using AI as a force multiplier rher than a shortcut - we'd like to talk.