Senior Engineer I - QA

Roles & Responsibilities 

• Own the test strategy for Platform (Web and API): decide what runs on every PR, nightly and at release 
• Perform frontend and backend testing (Platform - Web, REST APIs, analytics and data pipelines) 
• Perform regression and sanity testing across environments and cloud regions (AWS, GCP, Azure) and give a clear go/no-go for releases 
• Design, build and maintain the UI and API automation frameworks (Playwright/Selenium), including shared page objects, fixtures, test data and stable selectors 
• Add automated quality gates to CI/CD pipelines, and track and fix flaky tests 
• Plan and run performance and load tests for APIs and data pipelines 
• Validate data correctness for analytics and metering pipelines (completeness, duplicates, reconciliation) 
• Build internal scripts and tools to automate QA processes and test data creation Generate testing reports, status reports and QA metrics (pass rate, defect escape rate) Create and maintain the test case repository 
• Provide feedback to the developers, review test code and pull requests 
• Mentor junior QA engineers and help developers write better tests 
• Complete tasks in a timely manner 
• Update internal product documentation 

Mandatory Skills 

• 3 to 5 years of QA experience, with at least 2 years in test automation 
• Strong experience with JavaScript/TypeScript based E2E frameworks like Playwright or Experience designing an automation framework from scratch (page objects, fixtures, reporting) 
• Strong knowledge of JSON and REST, and API test automation (Postman/Newman, REST Assured, Playwright API or similar) 
• Experience in Load Testing with tools like JMeter, k6 or Locust 
• Knowledge of Continuous Integration and hands-on experience with Jenkins, GoCD or GitHub Actions 
• Experience in using Github and Git, including code reviews 
• Experience in any bug reporting and test management tool such as JIRA 
• Strong knowledge of the system development life cycle and the testing life cycle
• Experience in Agile/Scrum 
• Good SQL and data validation skills; experience testing data or analytics pipelines is preferred 
• Experience with logs and monitoring tools (Observe, Datadog or similar) for root cause analysis is preferred 
• Basic knowledge of Docker, Kubernetes and cloud (AWS, GCP or Azure) is preferred Self-Directed - Ability to detect and solve problems