Software Development Engineer in Test (Rider)

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the most effective developer tools on earth. Our tools speed up production by automating routine checks and corrections, freeing developers to grow, discover, and create.

We're currently looking for a Senior Software Developer in Test to enhance the quality and efficiency of JetBrains Rider, our C# IDE. In this role, you will maintain test coverage, monitor execution, improve tools, and collaborate with other developers to investigate issues.

• Drive the development and enhancement of internal tools and documentation to streamline testing processes.
• Monitor test execution, analyze and report results, and continuously improve tools and workflows to optimize performance.
• Collaborate closely with development and product teams to identify gaps and prioritize feature requests.
• Proactively address areas with limited test coverage or high concentrations of regressions across various technologies.
• Design, implement, and refine test frameworks for diverse testing needs.
• Enhance integration and automation within our CI/CD pipelines, driving quality and efficiency.

• Solid knowledge of testing theory, approaches, and best practices.
• Advanced programming skills in a high-level language (proficiency in C# or Kotlin would be highly desirable).
• Extensive experience with major test frameworks (preferably TestNG, JUnit, or NUnit) and with extending their functionality.
• A proven track record in establishing and managing CI/CD pipelines using Infrastructure-as-code tooling (familiarity with TeamCity would be a plus).
• A strong ability to work independently, prioritize tasks, and drive projects with minimal supervision, while maintaining high-quality standards and meeting deadlines.

• A strong understanding of performance testing principles, methodologies, and tools.
• Hands-on experience with profiling tools and performance monitoring systems.
• Experience designing and implementing scalable performance test frameworks and infrastructure.
• The ability to analyze performance metrics, snapshots, and other telemetry data to identify post-test insights, localize degradations, and provide actionable recommendations for optimization.

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