Job Information
Insight Global QA Lead in Toronto, Ontario
Job Description
Insight Global is scaling its agentic AI program and requires a Lead Quality Engineering Engineer to support the validation and testing of agentic AI applications as they move from proof-of-concept into production environments.
This role requires a strong foundation in automated and some manual testing with proven experience across complex, data-intensive applications in an enterprise or financial services environment (ideally capital markets). The successful candidate will be expected to hit the ground running, contributing to active test cycles from day one while helping to define quality standards for a growing agentic AI program. The candidate will be comfortable with 2 days on site in Toronto, Montreal OR Vancouver.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
8+ years of hands-on software testing experience
3+ years in a QA leadership or team lead role
Proven experience leading and mentoring QA teams of 3+ engineers
Expert-level programming skills in Python with 5+ years automation development experience
Advanced experience with test automation frameworks and tools
Deep understanding of testing methodologies, AI Testing, SDLC, and Agile practices
Proficiency with version control (Git), CI/CD tools (Github Actions, Jenkins)
Expertise in API testing and performance testing tools Experience with resource planning, capacity management, and project estimation
Experience with LOCUST for performance testing