Software Engineer in Test, ToolChain QE

developing testing frameworks is a plus for more experienced candidates.

• Proficiency in scripting languages, such as Python, to automate test cases, workflows, analysis, diagnostics, or reporting.
• Ability to build practical tools or automation, from small scripts that remove repeated effort through to more structured internal tooling used by the team.
• An analytical approach to problem-solving, with the ability to investigate failures, understand patterns, and ask good questions when the cause of an issue is unclear.
• Strong communication skills, with the ability to clearly convey technical information in writing and verbally to team members with varying levels of expertise.
• Collaborative mindset, capable of building strong working relationships and working effectively across teams, regardless of experience level or reporting line.
• A learning mindset, with enthusiasm for developing technical skills, testing knowledge, tooling capability, and quality engineering judgement over time.

Nice to have

• Experience in triaging software bugs and collaborating with development teams. For more experienced candidates, experience handling complex or ambiguous bug reports is a plus.
• Experience testing released software products, particularly developer tools, compilers, SDKs, or similar platforms.

with more complex testing environments is valued for experienced candidates.

• Familiarity with advanced software testing techniques, such as coverage-directed fuzzing, property-based testing, static analysis, or using sanitizers. This knowledge can be acquired on the job, so candidates with a learning mindset are encouraged to apply.
• Practical knowledge of a system-level language such as C++ and the ability to navigate, test, or contribute to large codebases, whether gained through coursework, projects, or professional experience.
• Experience with CI/CD systems, especially Jenkins or similar platforms.
• Experience developing internal engineering tools, test utilities, dashboards, reporting tools, workflow automation, or diagnostic helpers.
• Experience improving test reliability, maintainability, or reporting, including reducing flaky tests, improving failure diagnostics, or making automated results easier to act upon.

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