Quality Engineer - GenAI

Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.

• Gen AI Testing Pioneer – Lead the integration of Gen AI into all phases of testing from automated test case generation and synthetic data creation to intelligent bug analysis.
• Full‑Stack Validation – Own the quality strategy for Web, Mobile (iOS Android), and API layers, ensuring a seamless multi-channel customer experience.
• Shift‑Left Engineering – Work side‑by‑side with developers to automate everything. You will architect robust test suites that run within high-frequency CICD pipelines.
• Infrastructure Simulation – Leverage cloud‑based testing platforms and service virtualization to enable testing in isolated, high‑scale environments.
• Drive Automation – Design and implement CICD pipeline enhancements through agent integration to increase deployment efficiency and reliability.
• Collaborate – Work within an Agile squad of technical and business partners.

• Core Quality Engineering Experience – 5 years of professional experience in Quality Engineering and Automation.
• Multi-Platform Testing – Proven expertise in Web (Selenium, Playwright, or Cypress), Mobile (Appium, XCUITest etc.), and API testing (Postman, Rest Assured).
• Service Virtualization – Expert-level experience with tools like Wire Mock or similar technologies to simulate complex backend dependencies.
• Dev Ops Mastery – Deep understanding of CICD pipelines (Git Hub Actions, Jenkins, or Azure Dev Ops) and a Quality as Code mindset.
• Version Control – Expert knowledge of Git branching and merging strategies.
• The Modern AI Tools Edge – Gen AI in QE Proven experience leveraging Gen AI (e.g., Copilot, Claude, or specialized QA agents) for test script generation, maintenance, and edge‑case discovery.
• Performance Observability – Experience with performance testing and production monitoring using tools like Splunk or Dynatrace.
• Bonus Points (Nice-to-Haves) – Agentic AI for QE Familiarity.

Salary Range – CA $ 100,000 – CA $ 120,000 per year.

Location:

Toronto, ON