Software Engineer in Test

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 new 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