1 month ago
Noida, IndiaStaff+
Responsibilities
- Lead quality strategy, automation execution, and QA best practices for software solutions.
- Architect, build, and scale Playwright-based end-to-end automation frameworks for retail, inventory, store-order, and POS applications.
- Develop automated test scripts and apply Playwright practices including parallel execution, multi-browser testing, and resilient element locators.
- Use Claude and other generative AI tools for test case creation, coverage mapping, script generation, refactoring, optimization, debugging, and maintenance.
- Partner with business and engineering stakeholders to define testing scope, objectives, and deliverables.
- Provide technical oversight and mentorship for automation frameworks and QA team members.
- Track test efficiency, effectiveness, defect, coverage, automation velocity, and release-readiness metrics.
- Oversee bug triage, root-cause analysis, and automated test code reviews.
Requirements
- Bachelor's degree in Computer Science or equivalent experience.
- 7+ years of experience with web, mobile, and API-service applications, including complex retail, B&M, or mobile POS projects.
- 7+ years of experience with automation tools and frameworks, including advanced Playwright proficiency and experience with Selenium, Cypress, RestAssured, PyTest, and Robot.
- Deep experience validating front-end applications, back-end services, and microservices using Postman and SoapUI.
- Extensive hands-on use of AI tools, specifically Claude, in QA workflows for test generation, framework construction, and automated maintenance.
- 5+ years of experience with Appium and related mobile automation tools.
- 5+ years of experience with TypeScript, JavaScript, Python, or Java.
- Experience with Git, GitHub, GitLab, Jenkins, Oracle, SQL, JIRA, TestRail, Zephyr, and HP ALM.
- 3+ years of experience with Agile development practices and scrum.
- Strong debugging, troubleshooting, analytical, communication, technical leadership, and mentoring skills.
Tech Stack
Categories
About ShyftLabs
ShyftLabs builds and runs enterprise data and AI platforms, combining data engineering, analytics, and responsible AI controls with consulting and managed delivery. It designs governed data infrastructure, customer and retail analytics, and omnichannel marketing data products for large organizations. Founded in 2018 and headquartered in Toronto, the privately held firm serves global clients and staffs teams across Toronto, New York, Dubai, and New Delhi.