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QUALITY ASSURANCE ENGINEER @ XALT ANALYTICS PVT. LTD.

India, Indore Posted 3/22/2026 xaltanalytics.com 2232 Views
XALT Analytics Pvt. Ltd. is looking for a passionate and detail-oriented Quality Assurance Engineer to join our team in Indore. At XALT Analytics, we focus on building innovative, data-driven solutions designed to help businesses scale smarter. The successful candidate will play a critical role in ensuring high-quality product delivery by performing both manual and automated testing across web and mobile platforms. You will be responsible for designing test cases, managing bug tracking through JIRA, and collaborating with cross-functional teams to maintain excellence. As a QA Engineer, you will dive deep into API testing using Postman and validate data integrity with SQL queries. We offer a growth-focused and collaborative environment where you can work on cutting-edge analytics solutions using modern tools and technologies. This on-site role is ideal for individuals with 1 to 2 years of experience who are eager to advance their careers in software testing. Join us and contribute to a culture of innovation while sharpening your skills in Selenium, CI/CD, and performance testing tools like JMeter. Our team is dedicated to professional growth and utilizing modern technologies to deliver high-quality analytical products.

Key Requirements

1–2 years of professional experience in Quality Assurance. Proficiency in performing manual and automation testing for both Web and Mobile platforms. Proven ability to design and execute comprehensive test cases and test plans. Experience in identifying, tracking, and managing software bugs using JIRA. Strong hands-on experience with API testing using Postman. Solid understanding of data validation techniques using SQL. Comprehensive knowledge of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC). Hands-on experience or basic exposure to Selenium, TestNG, or JUnit. Excellent analytical thinking and effective communication skills. Familiarity with modern tools like CI/CD pipelines (Jenkins/GitHub Actions), JMeter, and scripting languages such as Python or JavaScript.

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