Who you are

- AI expertise for testing: Ability to design, implement, and optimize solutions leveraging LLMs, agentic AI systems, and predictive analytics for quality assurance

- Experience with autonomous testing agents capable of independently discovering, executing, and adapting test strategies

- 4+ years of hands-on experience with test architecture and automation systems design

- 3+ years of programming experience across multiple languages with Python

- AI expertise for testing: Ability to design, implement, and optimize solutions leveraging LLMs, and predictive analytics for quality assurance

- Knowledge of continuous integration tools (Jenkins/GitLab, TeamCity, AWS) and their optimization for quality gates

- Advanced test analysis skills: Experience with test flakiness analysis, failure pattern recognition, and automated root cause identification

- Excellent verbal and written communication skills

- Some working knowledge of C++

- Certifications or training in AI/ML or AI testing (e.g., Coursera AI for Everyone, Google AI Engineer, ISTQB AI Testing Foundation)

What the job involves

- As part of our team, you'll leverage your diverse skills to support both Software Engineers and QA Engineers, tackling the daily challenges of their roles

- Your specialist knowledge will be invaluable in suggesting improvements to enhance quality and streamline workflows,



ensuring we continue to exceed our customers' expectations

- As a Software Engineer (SDET), you'll be the transformational force that revolutionizes our testing approach

- You'll leverage AI and advanced analytics to identify quality gaps, architect intelligent testing solutions, and establish recent standards for test effectiveness that go beyond simple coverage metrics

- Design and implement intelligent test analysis systems that identify quality gaps, predict failure patterns, and optimize test effectiveness

- Design systems that collect, analyse and act on the testing data to continuously improve on the quality processes

- Experience with systematic regression tracking and implementing process to prevent regression reoccurrence

- Establish new methodologies for measuring and improving test quality beyond simple pass/fail metrics, focusing on regression prevention and production reliability

- Leverage AI-powered tools for automated failure analysis, root cause identification, and test flakiness scoring

- Define and implement architectural patterns that make testing more effective, maintainable, and aligned with business impact

Benefits

- Medical, wellness and financial benefits

- Free snacks and access to the company fitness center

- Unlimited paid time off policy

- Work from home opportunities

📌 Software Engineer in Test (Cambridge)
🏢 Roku
📍 Cambridge