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Project description We are looking for a QA Engineer to join our team working on a cloud based high performance analytics platform used in the Capital Markets domain for validating, transforming, and analyzing large volumes of financial data. Ideal candidate can own both manual functional testing and test automation (UI + E2E) across our front-end interfaces, analytics workflows, and API layers. You will contribute to quality strategy, build automation frameworks, and help the team deliver a highly reliable platform used by financial analysts and enterprise clients. Responsibilities Manual Testing Analyze requirements, acceptance criteria, and specifications for new features. Create and maintain test plans, test cases, and test scenarios across UI, API, and data workflows. Perform functional, regression, exploratory, and integration testing. Validate correctness of data transformation, analytical workflows, and large dataset processing. Collaborate closely with Product, Developers, and Data/AI Engineers to clarify expected behavior. Automation Develop and maintain UI automation using: Python Playwright Implement E2E scenarios covering cross-service workflows. Build reusable test utilities, fixtures, and Page Object patterns. Integrate tests into CI/CD pipelines (GitHub Actions / GitLab / Jenkins / AWS CodeBuild). Configure test runs in AWS environments (dev/stage/prod). Participate in root-cause analysis of defects and quality incidents. Quality Engineering Contribute to QA strategy and test automation roadmap. Improve test stability, reduce flakiness, optimize runtime. Define KPIs for coverage, quality, and regression scope. Support test data preparation and environment setup. Skills Must have 5+ years of experience as a QA Engineer (Manual + Automation). Strong experience testing client-server applications and understanding of web technologies. Experience testing Agentic AI workflows. Hands-on experience with: Python Playwright (TypeScript) Solid understanding of testing methodologies, QA lifecycle, and Agile processes. Experience testing REST APIs (e.g., Postman, Playwright API). Good understanding of CI/CD, Git, test execution pipelines. Familiarity with cloud environments (AWS ideally). Ability to analyze complex workflows and large datasets. Strong communication skills and a proactive mindset. Nice to have Experience with Capital Markets, trading, market data, or financial analytics. Exposure to AI/ML-based systems and their validation approaches. Knowledge of contemporary test reporting systems (Allure, Playwright Trace Viewer). Experience with performance testing (JMeter). Other Languages English: B2 Upper Intermediate Seniority Senior Gurugram, India Req. VR-121182 Automated Testing Python BCM Industry 31/07/2026 Req. VR-121182 .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.