QA Engineer

The Senior QA Engineer at Together AI is responsible for developing and maintaining release management processes, identifying risks, and documenting comprehensive test scenarios and use cases. You will work closely with development teams, participate in Agile/Scrum ceremonies, and provide regular updates on testing progress and quality metrics.

To qualify for the Senior QA Engineer position at Together AI, candidates must possess a Bachelor’s degree in Computer Science, Engineering, or a related field, along with 7+ years of QA engineering experience. A strong background in release management and automated testing, as well as excellent communication skills, are essential.

Together AI prioritizes quality through the expertise of its Senior QA Engineer, who develops robust QA processes, enforces best practices, and continuously evaluates testing methodologies. This proactive approach ensures thorough tests are conducted before releases, maintaining high-quality standards across all products.

Absolutely! The Senior QA Engineer at Together AI actively participates in Agile/Scrum ceremonies, contributing to sprint planning and retrospectives. This collaboration is vital for understanding new features and ensuring a smooth release process.

Together AI offers a dynamic, research-driven environment where QA Engineers can thrive. Employees benefit from collaboration with talented researchers and engineers, access to cutting-edge AI technology, and opportunities for professional growth, all while enjoying competitive compensation and benefits.

In your response, highlight specific tools you have used for automated testing and describe the impact of these tools on the efficiency of the testing process. Concrete metrics or outcomes can strengthen your answer.

Discuss the strategies you employ, such as regularly reviewing and updating testing criteria and utilizing automation to reduce manual effort. Providing examples of past improvements can showcase your proactive approach.

Share a specific instance where your risk assessment led to a change or improvement in the release process. Highlight how your intervention contributed to enhanced quality or timely releases.

Discuss both the testing frameworks you’re comfortable with and any CI/CD tools you have experience using. This will demonstrate your technical competency and readiness to integrate seamlessly with existing workflows.

Explain your approach to prioritization, perhaps discussing frameworks or methodologies (like Agile) that you use to keep projects on track while ensuring quality is not compromised.

Emphasize the importance of communication, regular updates, and feedback loops. Providing examples of successful collaborations can illustrate your ability to work well in cross-functional teams.

Discuss metrics such as defect density, test coverage, or customer-reported issues. Explain how you've utilized these metrics in the past to assess and improve software quality.

Talk about any collaborative experiences you’ve had with SDETs, discussing how they contributed to increasing feature coverage and improving overall software reliability.

Mention any tools you use for documentation, and emphasize the importance of clarity and detail in testing documentation. This shows your organizational skills and commitment to quality.

Discuss your passion for AI technology and commitment to delivering high-quality software. Express excitement about working in a research-driven environment that values innovation and collaboration.