Software Development Engineer in Test (SDET)

About the Company

We build software that prioritizes reliability, performance, and customer trust. Our engineering teams value strong ownership, clean code, continuous improvement, and automation-first quality practices. The Quality Engineering function partners closely with product and development teams to ship high-quality releases through scalable automation, measurable quality signals, and CI/CD integration.

Job Summary

As a Software Development Engineer in Test (SDET), you will design and build scalable test automation frameworks and contribute to high-quality software delivery through strong engineering practices. Youll work closely with developers to improve testability, expand automated coverage across UI/API/integration layers, and ensure tests run efficiently within CI/CD pipelines.

Key Responsibilities

• Design, build, and maintain scalable test automation frameworks to improve coverage and reduce regressions.
• Develop clean, maintainable test code and reusable utilities using Java, Python, or JavaScript.
• Implement and maintain API, UI, integration, and regression automated test suites.
• Integrate automated tests into CI/CD pipelines, ensuring fast feedback and reliable gating.
• Partner with developers to improve code quality, testability, and defect prevention (shift-left).
• Identify, log, track, and validate fixes for defects; perform root-cause analysis where appropriate.
• Continuously improve test execution stability (e.g., flakiness reduction), reporting, and quality metrics.

Qualifications & Skills

Mandatory (Must-Have)

• Strong programming skills in Java and/or Python and/or JavaScript with solid fundamentals (OOP, data structures, debugging).
• Hands-on experience with test automation tools such as Selenium and BDD frameworks (e.g., Cucumber).
• Experience with API testing (e.g., REST) and creating automated API test suites.
• Experience integrating tests with CI/CD tools (e.g., Jenkins/GitHub Actions/GitLab CI/Azure DevOps or similar).
• Working knowledge of SDLC, Agile practices, and core testing methodologies (test design, test strategy, defect lifecycle).

Good-to-Have (Preferred)

• Hands-on experience with AI tools such as Windsurf and Quantexa (or comparable AI/analytics tools).
• Experience improving test architecture (page object patterns, service layer abstraction, parallelization, reporting).
• Experience with containerized or cloud-based test execution (Docker/K8s) and test data management.