AI-Driven Test Engineer for Microservices (Hybrid/Remote)

Leidos

Gaithersburg (MD)

Hybrid

USD 73,000 - 133,000

Full time

4 days ago
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Benefits offered by this job

Competitive compensation
Health and Wellness programs
Retirement benefits

Job summary

Leidos is hiring a Test Engineer to help advance the L-CAP platform within a SAFe/Agile environment. The role focuses on designing automated test frameworks for microservices and building reusable libraries to improve CI/CD quality and velocity.

You’ll work with Java, JavaScript, and modern testing tools, collaborating with development and systems engineering teams to ensure robust test coverage and reliable delivery for mission-critical systems.

Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, or related discipline with 3+ years of experience, or Master’s with 2+ years (additional experience may be considered in lieu of degree)
  • Experience with test automation frameworks (Selenium, JUnit, pytest, or equivalent) and Java or JavaScript test development
  • Experience integrating automated testing into CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or similar tools
  • Experience with performance, integration, and API testing for distributed systems (JMeter, 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
  • US citizenship required
  • Successful completion of background investigations as required by government customer

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 ensuring 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 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 activities
  • Mentor junior test engineers on automation practices and testing methodologies
  • Design and execute test scenarios based on operational ATC workflows ensuring modernized services replicate legacy system behavior
  • Develop distributed service validation frameworks verifying inter-service communication, data flow, and performance under operational conditions
  • Implement data-driven verification approaches supporting modernization of legacy automation functions
  • Embrace an AI-first engineering culture by actively adopting AI-assisted development tools, automation, and modern engineering practices that improve productivity, code quality, and delivery velocity

Skills

Test automation frameworks (Selenium/J
Java
JavaScript
CI/CD pipelines
API testing
Distributed systems testing
SAFe/Agile testing
Public Trust
US citizenship

Education

Bachelor’s degree in CS/SE or related
3+ years experience or 2+ years with Master

Tools

Selenium
JUnit
pytest
Jenkins
GitLab CI
GitHub Actions
JMeter
Gatling
Postman/Newman
Docker
Kubernetes
REST Assured

Job description

Leidos is hiring a Test Engineer to help advance the L-CAP platform within a SAFe/Agile environment. The role focuses on designing automated test frameworks for microservices and building reusable libraries to improve CI/CD quality and velocity.

You’ll work with Java, JavaScript, and modern testing tools, collaborating with development and systems engineering teams to ensure robust test coverage and reliable delivery for mission-critical systems.

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