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QA Test Automation Engineer

Guidewire Software

$96,000 - $144,000
Dec 14, 2025
Remote, US
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Guidewire is seeking a QA Engineer to validate, automate, and ensure the quality of microservices and API-based systems, specifically for the NextGen HazardHub microservices ecosystem in the P&C insurance sector.

Requirements

  • Strong knowledge of API testing technologies (such as REST, GraphQL, gRPC, Protocol Buffers, OpenAPI/Swagger, Postman/Bruno)
  • Proficiency in API testing tools such as Postman, Bruno, REST Assured, and Playwright for API, along with automation frameworks such as Selenium and Playwright (with TypeScript or JavaScript) for UI and API testing.
  • Experience with backend testing for languages such as Go, Python, Java, or Ruby.
  • Hands-on experience with contract testing (OpenAPI, Pact, Schemathesis).
  • Experience with performance testing tools (Locust, JMeter, k6).
  • Proficiency with cloud-based environments and containers (AWS, GCP, Docker, Kubernetes).
  • Strong knowledge of CI/CD processes with GitHub Actions, Jenkins, or similar tools.

Responsibilities

  • As an individual contributor within the QA team, design, develop, and maintain automated API test suites for geospatial APIs and microservices serving Hazard data.
  • Apply a problem-solving mindset to identify gaps, debug failures, and drive test efficiency and reliability.
  • Collaborate with developers, GIS analysts, and Product teams to define API acceptance criteria and ensure test coverage aligns with business needs.
  • Validate data accuracy and transformations across API responses, databases, and geospatial layers.
  • Implement contract testing (OpenAPI, Pact, Schemathesis) to ensure API schema compliance across services.
  • Develop performance/load testing scripts (Locust, JMeter, k6) for latency, throughput, and scalability validation.
  • Build and maintain CI/CD-integrated test pipelines for regression, smoke, and sanity testing.

Other

  • 5+ years of experience in QA for enterprise-level APIs / Microservices.
  • BS in Computer Science, Engineering, or related field, or equivalent industry experience.
  • Excellent problem-solving skills and ability to collaborate in cross-functional teams.
  • Demonstrated ability to embrace AI and apply it to your role as well as use data-driven insights to drive innovation, productivity, and continuous improvement.
  • Travel requirements not specified