Automated Test Engineer Security Clearance

Position: Automated Test Engineer 3 with Security Clearance
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- Description Looking for an opportunity to make an impact? At Leidos, we’re redefining what’s possible through innovation, collaboration, and a steadfast commitment to our customers’ success. Our people are our greatest asset — diverse, talented professionals empowered to drive change, strengthen communities, and operate with integrity and purpose. Guided by our Mission, Vision, and Values, we deliver solutions that make a measurable difference every day.

​ If you’re looking for a dynamic environment where you can excel and grow, we invite you to learn more. Leidos is seeking an Automated Test Engineer (Level
3) to join our team in Egg Harbor Township, NJ, or Gaithersburg, MD supporting the verification, validation, and qualification of advanced systems within the National Airspace System (NAS). In this role, you’ll apply automated testing methodologies and AI/ML techniques to assess and enhance Air Traffic Control (ATC) modernization initiatives. The selected candidate will design, develop, and sustain automated test frameworks supporting AI- and ML-enabled capabilities that drive operational efficiency and decision-making—such as trajectory prediction, conflict detection, traffic flow management, and workload optimization.

This position plays a critical role in ensuring compliance with FAA systems assurance, safety, and performance standards. If you’re ready for a challenging and rewarding opportunity that pushes the boundaries of innovation in aviation technology, we’d love to connect with you. Your most meaningful work is ahead! The Mission For more than five decades, Leidos has been a trusted partner in delivering advanced Air Traffic Management (ATM) systems for Air Navigation Service Providers (ANSPs) across the globe.

Our solutions keep customers ahead of accelerating aviation demands by integrating proven, globally deployed technologies with next-generation capabilities co-developed alongside our ANSP and technology partners. From tower and terminal systems to en route, oceanic, and comprehensive flow control solutions, we’re helping define the future of safe and efficient airspace management. Explore more about our aviation innovations here ! Join a team driven by mission and impact — share your resume today and take the next step in your career with Leidos.

The Challenge:
* Responsible for Dev Ops-related activities both individually and as a member of an Agile team. Design, develop, and maintain automated test suites and frameworks using Squish, Selenium, and CI (e.g. Jenkins, Gitlab) to ensure the quality and reliability of software applications  * ​Develop System of Systems (SoS) Test Architecture to ensure Large Scale Effectivity   * ​Implement AI tools to enhance test automation  * ​Troubleshoot and debug automated tests to identify root causes of failures and ensure test reliability  * ​Work closely and collaborate with development teams to identify and verify testable requirements  * ​Implement automated testing solutions and ensure that the software is testable and meets the requirement verification needs of the product  * ​Write and execute automated test scripts using various testing tools and frameworks  * ​Maintain clear and concise documentation  * ​Track issues  * ​Manage VMs & dev containers  * ​Use CI/CD tools  * ​Maintain test artifacts such as Verification Requirements Test Matrix  
* Participate in daily stand-ups, Sprint Planning, Release Planning, and other related team activities  
* Develop, implement, and maintain automated test frameworks to support verification and validation (V&V) of complex AI/ML systems within ATC environments.
* Design system-level and component-level test procedures, test cases, and data sets based on formal requirements and system specifications.
* Lead efforts to evaluate AI/ML model behavior, accuracy, and performance under operationally representative scenarios and datasets.
* Integrate automated test tools and continuous testing pipelines (e.g., CI/CD) to enhance system reliability and regression coverage.
* Conduct root cause analysis and defect resolution in coordination with software, systems, and AI engineering teams.
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