QA engineer (auto) in agentic AI systems

We are seeking a highly skilled and experienced QA Engineer to join Insight's Application Development department. This is a department role rather than a position on a single customer project: the engineer will work across concurrent and successive engagements and is expected to act in the best interest of Insight's stakeholders and customers on each of them.

• Build and maintain Playwright end-to-end suites and API test suites for the components assigned to them, and keep them reliable enough to run on every change
• Write and run evaluations for agentic workflows: agent task completion, tool-call correctness, guardrails, and regression across prompt and model changes
• Build and run their own agents for test generation, execution, and triage within the department's agent-driven delivery procedures, and remain accountable for the correctness of everything those agents produce
• Create and maintain the GitHub Actions workflows that run their suites and enforce quality gates, and contribute to the engagement's wider CI/CD pipelines
• Identify problems in code, test coverage, or process and fix them or drive them to resolution without waiting for assignment
• Act in the best interest of Insight's stakeholders and customers, and raise risks and conflicts to the technical lead early
• Contribute to leading the team: participate actively in test strategy discussions and code reviews, share what they learn about testing agentic systems, and help onboard new engineers
• Support UAT cycles, defect triage, and release readiness, and report on coverage for the components they own
• Communicate progress, risks, and blockers promptly to the technical lead and Application Development leadership

• Professional QA and test automation experience on web applications and APIs, with a demonstrated record of building automated suites that run in CI
• Hands-on experience testing applications deployed on Google Cloud Platform or another major public cloud
• Bachelor's degree in Computer Science or equivalent practical experience
• End-to-end test automation with Playwright and TypeScript
• Testing agentic AI systems: writing evaluations for agent workflows, tool calls, and model outputs where results are non-deterministic
• Building and running AI agents for test generation, execution, and triage, using frameworks such as Google ADK
• Daily use of AI coding assistants and agentic development tools, with the judgment to verify and correct generated output
• Building CI/CD pipelines in GitHub Actions that run test suites, publish results, and enforce quality gates
• API test automation against REST services
• SQL for data validation against relational databases
• Test case design and test planning for web frontends and backend services
• Initiative: identifying defects, coverage gaps, and risks and acting on them without waiting for direction
• Collaboration: contributing to test strategy discussions, code reviews, and team quality practices
• Clear written and verbal communication with Insight and customer stakeholders
• Будет плюсом: Google Cloud Associate or Professional certification; Testing asynchronous and event-driven systems; Performance and load testing (k6, JMeter); Accessibility testing against WCAG; Mobile test automation; Experience in government or regulated environments

• Along with excellent benefits and a compelling reward package, we offer the opportunity to work in a supportive environment with a high level of autonomy and creativity
• there’s a reason our average employee tenure is over 6 years