Software Development Engineer in Test

Description

Minimum Qualifications

• Bachelor’s degree in Computer Science, a related technical field, or 5 years of relevant industry experience.
• Proficiency in Node.js/Typescript with hands-on experience building or maintaining web test automation and related tooling. Some experience using Python for scripting or data-related tasks is a plus.
• Experience testing web applications using modern automation frameworks such as Playwright, WebdriverIO or XCUITest, including practices for scalable, reliable, and maintainable test automation.
• Experience testing APIs, including RESTful and/or GraphQL services, with automated frameworks (e.g., TypeScript/Node.js, Java REST-assured, or Python) and an understanding of API design principles.
• Experience working with CI/test infrastructure, including improving reliability and feedback speed (e.g., reducing infrastructure-related flakiness or job queue delays), or operating CI runners and executors using tools like GitHub Actions, Jenkins, or Harness.

Preferred Qualifications

• Deep experience with Playwright or WebdriverIO including best practices for browser automation, fixtures, parallelization and network interception.
• Experience applying a quality engineering mindset to improve coverage, reliability, and confidence in large-scale web applications.
• Familiarity with AI-assisted quality techniques, such as using LLM-enabled tools for test generation, failure analysis, triage, or supporting CI/CD quality gates.
• Experience improving testability of features by collaborating with software engineers and making deliberate choices around mocking, dependency management, and validating component and service interfaces.
• Solid understanding of CI/CD pipeline architecture with experience improving reliability, performance, and feedback speed.
• Experience with cross-platform automation (web, native, APIs) and techniques to reduce test flakiness, improve time-to-signal and result reliability.
• Exposure to federated GraphQL or schema composition is a plus.
• Familiarity with deterministic test data strategies, including seeding known records, masked production subsets, synthetic or golden datasets and versioning
• Strong communication skills, with the ability to explain technical systems and tradeoffs clearly to both technical and non-technical audiences.