QA自动化工程师（Playwright / AI-Enabled工作流）

Salary: Up to $3,500 USD/month
Remote – LATAM‑based candidates only
About TalentCross's US‑based client
Our client is transforming the $500B+ property maintenance industry with modern SaaS infrastructure that streamlines service coordination, automation, and performance analytics for property managers and vendors at scale.
As their platform grows, they're increasingly focused on building high‑quality, reliable systems supported by modern QA practices and AI‑enabled workflows that help them move faster without compromising stability.
About the Role

• Build and maintain automated test coverage across UI, API, and end‑to‑end flows

• Develop and scale test automation using Playwright (TypeScript) or similar frameworks

• Integrate automated tests into CI/CD pipelines to support fast and reliable releases

• Use AI tools to accelerate test creation, debugging, and regression analysis

• Collaborate closely with Engineering and Product to embed quality early in the lifecycle

• Perform targeted exploratory testing where automation is not yet feasible

• Analyze test results and production issues to continuously improve test effectiveness

• Support test case management and traceability through tools like TestRail or similar

• Contribute to improving QA workflows, tooling, and overall efficiency

Requirements

• 3–5+ years of QA Engineering experience with strong focus on automation

• Hands‑on experience with Playwright, Cypress, Selenium, or similar frameworks

• Experience testing across API, UI, and end‑to‑end scenarios

• Familiarity with CI/CD environments and integrating automated tests into pipelines

• Practical experience using AI tools (e.g., Copilot, ChatGPT, Claude) to improve QA workflows

• Strong problem‑solving skills and attention to detail

• Ability to work independently and collaborate across distributed teams

• Advanced English communication skills

Nice to Have

• Experience with TypeScript

• Exposure to observability tools (e.g., Datadog)

• Familiarity with product analytics tools (e.g., FullStory)

• Experience with risk‑based testing or test optimization techniques

• Experience working in remote, globally distributed teams

Why Join

• Work on a fast‑growing platform solving real‑world operational challenges at scale

• Be part of a globally distributed, collaborative team

• Leverage modern tools and AI‑assisted workflows to move faster and smarter

• Have real impact on product quality and user experience

Originally posted on Himalayas