T&E Lead for Next-Gen Air Traffic Automation (Hybrid)

Leidos

Egg Harbor City (NJ)

Hybrid

USD 140,000 - 180,000

Full time

14 days+
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Job summary

Leidos is seeking a Test and Evaluation Lead in the Air Traffic Business Area to define strategy and lead the T&E efforts for the L-CAP platform, a hybrid cloud data mesh in SAFe environment. The role focuses on modern quality engineering, automation, MBSE, and data-driven validation across lab, simulation, and operational settings, with a requirement for U.S.

citizenship and ability to obtain Public Trust.

Qualifications

  • Bachelor’s degree in Engineering or related field.
  • 12+ years of experience in test and evaluation for complex systems.
  • Experience performing T&E on large-scale, safety-critical systems.
  • Familiarity with Agile/SAFe development environments.

Responsibilities

  • Define and implement a modern Quality Engineering strategy focused on automation and continuous testing.
  • Establish AI-assisted and model-based testing methods to improve coverage.
  • Lead test environments, simulation capabilities, and digital models for validation.
  • Develop methods for validating systems using production data and performance analysis.
  • Lead a multidisciplinary T&E team and ensure FAA/DoD standards compliance.
  • Plan and execute DT/OT/Integrated testing and manage TEMP documentation.
  • Interface with FAA stakeholders for risk assessments and readiness.

Skills

Test & Evaluation
TEMP planning
V&V frameworks
Agile/SAFe
System testing automation
Communication skills
Public Trust eligibility
U.S. citizenship
Lab/simulation testing
Data-driven validation

Education

Bachelor’s degree in Engineering/CS/Systems Engineering or related field

Tools

Jama
DOORS
Jira/Xray
TestRail

Job description

Leidos is seeking a Test and Evaluation Lead in the Air Traffic Business Area to define strategy and lead the T&E efforts for the L-CAP platform, a hybrid cloud data mesh in SAFe environment. The role focuses on modern quality engineering, automation, MBSE, and data-driven validation across lab, simulation, and operational settings, with a requirement for U.S.

citizenship and ability to obtain Public Trust.

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