QA SDET

We are looking for a detail-oriented QA (SDET) with 3+ years of experience who is passionate about building reliable and scalable test automation frameworks. The ideal candidate should have hands-on experience in frontend test automation using Playwright (JavaScript/TypeScript) and API testing, along with a strong understanding of Agile/Scrum processes. You should be comfortable working closely with developers and product teams, writing test cases from user stories with clear acceptance criteria, and managing test activities using tools like Xray. A proactive mindset, problem-solving ability, and focus on delivering high-quality software will be key to success in this role. Tester that has more experience in testing data pipelines and visualization dashboards in the databricks ecosystem. The scope of the commercial and service dashboard is to build data pipelines that would compute metrics that are then visualize in a BI dashboard. Key Responsibilities: Work closely with the Scrum team to create and execute test cases based on user stories and epics with clear acceptance criteria. Develop and maintain automated test scripts at the story and epic level. Perform frontend testing using Playwright (JS/TS) and backend API testing. Manage and track test cases using Xray.

Responsibilities

Work closely with the Scrum team to create and execute test cases based on user stories and epics with clear acceptance criteria; Develop and maintain automated test scripts at the story and epic level; Perform frontend testing using Playwright (JS/TS) and backend API testing; Manage and track test cases using Xray

Requirements

3+ years of experience; hands-on experience in frontend test automation using Playwright (JavaScript/TypeScript); API testing; strong understanding of Agile/Scrum processes; comfortable working closely with developers and product teams; writing test cases from user stories with clear acceptance criteria; managing test activities using tools like Xray; proactive mindset; problem-solving ability; focus on delivering high-quality software; experience in testing data pipelines and visualization dashboards in the Databricks ecosystem