Senior Quality Engineer

What you'll do

• Own and execute manual testing activities during the development lifecycle, ensuring new features are thoroughly validated as part of the agile process.
• Collaborate closely with engineers and product managers to define acceptance criteria, test strategies, and edge cases early in the development cycle.
• Contribute to building and maintaining automated tests for API and UI layers, helping to expand coverage and reduce regression risk.
• Support and evolve test environments, frameworks, and tools to improve test efficiency and reliability.
• Use AI-assisted engineering tools, coding agents, and test generation techniques to accelerate test creation, improve coverage, debug failures, and support faster feedback loops.
• Review AI-generated or AI-assisted test artifacts critically, ensuring tests validate business outcomes, system behavior, edge cases, and failure modes rather than only basic technical responses.
• Monitor and communicate test results, escalate risks, and champion continuous improvements in quality practices and delivery speed.

What you'll bring

• 3+ years of experience testing enterprise-grade, scalable, and distributed applications, products, and services.
• Exposure to automation frameworks and tools (e.g., Pytest, Selenium, Playwright …) is beneficial, though specific technologies are less important than your ability to apply the right approach to the problem.
• Experience with version control systems such as Github or GitLab.
• Familiarity with AI-assisted development tools, coding agents, or AI-assisted test automation is a plus.
• Exposure to testing products that incorporate large language models, AI/ML technologies, agentic workflows, recommendation systems, automation, or decision-support capabilities is a plus.
• Strong debugging and problem-solving skills, with the ability to quickly learn new tools and technologies.
• Ability to think critically about AI-assisted outputs, including identifying gaps, validating assumptions, testing edge cases, and ensuring business outcomes are correctly verified
• Experience working in an Agile environment.
• Understanding of CI/CD and DevOps concepts is preferred.
• Bachelor’s degree in Computer Science or a related field is preferred.