Lead Test Engineer

Leidos•Eagan, MN
•$92,300 - $166,850•Hybrid

About The Position

Leidos is seeking a Test Engineer to support development of the Leidos Common Automation Platform (L-CAP) within the Air Traffic Business Area of the Homeland Sector. L-CAP is a mission-critical automation platform built on a hybrid cloud data mesh architecture to enable next-generation air traffic management capabilities. The team uses an AI-first engineering mindset and modern development practices to improve delivery and software quality. The role operates within a SAFe/Agile framework as part of an Agile Release Train delivering iterative value across the program. It supports government programs and requires the ability to obtain and maintain a favorable Public Trust investigation. This is a hybrid position for candidates within a commutable distance (less than one hour's drive one-way during normal traffic) of Gaithersburg, Maryland; Eagan, Minnesota; or Egg Harbor Township, New Jersey, with three days onsite and two days working from home. Candidates who do not reside within a commutable distance may be considered for a 100% remote role.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or a related discipline with 8 or more years of experience, or a master’s degree with 6 or more years of experience; additional experience, education, and training may be considered in lieu of a degree.
  • Strong experience with test automation frameworks such as Selenium, JUnit, pytest, or equivalent, and Java or JavaScript test development.
  • Expertise integrating automated testing into CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or similar tools.
  • High experience with performance, integration, and API testing for distributed systems using tools such as JMeter or Gatling.
  • Knowledge of distributed service testing, including service virtualization, contract testing, chaos engineering, and data-driven test automation.
  • Experience with operational scenario-based testing, behavioral validation, root cause analysis, and defect investigation.
  • Familiarity with Agile/SAFe testing, quality engineering principles, test management, and defect tracking tools.
  • Ability to obtain and maintain a Public Trust.
  • U.S. citizenship is required.
  • Successful completion of background investigations as required by the government customer.

Nice To Haves

  • Python scripting and test development proficiency.
  • Experience testing microservices and event-driven architectures.
  • Knowledge of containerized test environments such as Docker and Kubernetes.
  • Experience with API testing frameworks such as REST Assured and Postman/Newman.
  • Familiarity with security testing tools and practices.
  • Experience in aviation, defense, or safety-critical testing domains.
  • Knowledge of test-driven development (TDD) and behavior-driven development (BDD).
  • Experience with AI-assisted development tools, such as code generation, automated testing, and intelligent debugging.
  • Experience testing legacy-to-modern migration and verifying functional equivalence between old and new systems.

Responsibilities

  • Design and implement test automation frameworks for microservices-based platform components.
  • Build and maintain reusable test libraries and utilities for the L-CAP test infrastructure.
  • Integrate automated tests into CI/CD pipelines and establish continuous quality gates.
  • Conduct performance testing to validate system behavior under load and stress conditions.
  • Execute integration testing across platform services, APIs, and external system interfaces.
  • Develop test plans and strategies aligned with sprint and Program Increment (PI) objectives.
  • Analyze defect patterns and test metrics to identify quality trends and improvement opportunities.
  • Collaborate with development and systems engineering teams on testability and quality requirements.
  • Support test environment configuration and test data management.
  • Mentor junior test engineers on automation practices and testing methodologies.
  • Design and execute test scenarios based on operational air traffic control workflows to ensure modernized services replicate legacy system behavior.
  • Develop distributed service validation frameworks to verify inter-service communication, data flow, and performance under operational conditions.
  • Implement data-driven verification approaches supporting modernization of legacy automation functions.
  • Adopt AI-assisted development tools, automation, and modern engineering practices to improve productivity, code quality, and delivery velocity.
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