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About TartanHQ At TartanHQ, we're building AI-powered products that simplify identity verification, data connectivity, and enterprise automation. We are looking for a passionate QA Engineer with around 3-5 years of experience in manual and automation testing to help deliver high-quality, scalable, and reliable products. Key Responsibilities - Design, review, maintain and execute detailed manual test cases, test scenarios and test plans. - Develop and maintain automated test scripts using Selenium, Playwright and Rest Assured. - Perform Functional, Regression, Integration, Smoke, Sanity, API, UI/UX, Exploratory and End-to-End testing. - Validate REST APIs using Rest Assured, Postman and JSON payloads. - Identify, log, prioritize and track defects using JIRA and collaborate with developers until closure. - Participate in sprint planning, grooming, reviews and retrospectives in Agile/Scrum teams. - Review logs, browser developer tools and application traces to support root cause analysis. - Contribute to CI/CD quality gates and maintain automation execution reports. - Prepare test data, reusable automation utilities and detailed test documentation. - Support product releases through regression validation and production verification. Required Skills - Solid programming knowledge in Java or Python (JavaScript is a plus). - Hands-on experience with Selenium WebDriver, Playwright and Rest Assured. - Good understanding of OOP concepts, collections and exception handling. - Strong manual testing expertise with SDLC, STLC and defect lifecycle. - Experience testing Web, API and enterprise applications. - Knowledge of AI concepts including AI-assisted testing, prompt engineering basics, LLM validation and AI-powered QA tools. - Experience with JIRA and test management tools such as AIO Tests, Zephyr or Xray. - Knowledge of Git, SQL, REST APIs and JSON. - Excellent analytical, debugging, communication and documentation skills. Good to Have - Experience integrating automation into CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps). - Performance testing exposure. - Cloud platform exposure (AWS/Azure). - Experience working on AI/SaaS products. Educational Qualification B.Tech/B.E., MCA, BCA, B.Sc. (CS/IT) or equivalent. What You'll Gain - Opportunity to work on AI-powered SaaS products. - Exposure to modern QA practices, automation frameworks and Agile development. - Career growth through ownership .
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.