Software Development Engineer In Test

As a Software Development Engineer in Test at Knit.ai, your key responsibilities include designing and implementing automated tests for our REST APIs, developing system tests for our SaaS platform, and ensuring proper performance and load testing. You'll work closely with developers to enhance testability, implement CI/CD integration with Google Cloud Build, support security and compliance testing, and continuously improve testing processes and frameworks.

To qualify as a Software Development Engineer in Test at Knit.ai, you should possess a Bachelor's degree in Computer Science or a related field, alongside a minimum of 3 years of experience in an SDET role or related position. Proficiency in Python programming, experience with test frameworks such as Playwright and pytest, and a solid understanding of API testing are also essential for this role.

In the role of Software Development Engineer in Test at Knit.ai, you’ll be expected to research and implement the latest testing tools and best practices to enhance automation efficiency. Your proactive approach will drive continuous improvements in our testing frameworks and processes, ultimately helping ensure the quality and reliability of our cloud-delivered applications.

As a Software Development Engineer in Test at Knit.ai, you will utilize tools and technologies such as Python for automation scripting, Playwright for UI automation, and pytest for general testing. Additionally, familiarity with Google Cloud Build for CI/CD integration and basic knowledge of PostgreSQL for database validation will be beneficial.

At Knit.ai, the work environment is fast-paced and collaborative, with an expectation for in-office work five days a week in our Palo Alto location. We believe that creativity and teamwork are critical for our success, especially in an early-stage startup context.

In answering this question, you should highlight your specific experiences with automated testing, mentioning tools such as Playwright for UI testing or pytest for general testing. Plus, include examples of projects where you successfully implemented these tools and any challenges you overcame.

When faced with test failures, a systematic approach is vital. Describe your methodology for diagnosing issues—starting from analyzing logs, verifying systems under test, to collaborating with the development team to resolve problems. This showcases your analytical skills and teamwork capabilities.

To keep your tests relevant, explain how you regularly review and update your test cases in accordance with software updates, feature changes, and bug fixes. Highlight the importance of version control and collaboration with developers in this process.

Focus on specific challenges such as integrating existing tests into CI/CD frameworks like Google Cloud Build. Discuss how you overcame these obstacles, emphasizing your problem-solving skills and proactive mindset.

API testing is critical as it verifies the integrity of data exchange between systems. Discuss how you validate functionality, performance, and security of APIs, and the impact of effective API testing on overall application quality.

In your response, mention specific projects where you conducted performance testing, the tools used, and the outcomes. Discuss how identifying performance bottlenecks led to improvements in application scalability.

Demonstrate your commitment to continuous learning by mentioning resources you follow, conferences you attend, or communities you engage with. This shows your dedication to professional growth and staying relevant in the industry.

Discuss any hands-on experiences you've had with database validation, including writing and executing SQL queries to verify data integrity and correctness as part of your test automation process.

Explain your methodology for cross-browser testing, including the tools used and specific test cases designed to ensure functionality across various browsers and devices. Highlight the importance of user experience in these scenarios.

Emphasize the importance of open communication and collaboration in a team setting. Share strategies like participating in code reviews, holding regular meetings, and integrating feedback into your testing processes to ensure software quality.