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QA Analyst -ProdDev

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: Confidential
Full Time position
Listed on 2026-02-05
Job specializations:
  • IT/Tech
    Systems Analyst, Data Analyst, IT QA Tester / Automation
Job Description & How to Apply Below
Position: QA Analyst 3-ProdDev
Location: Bengaluru

Develop and maintain comprehensive test plans, test cases, and test scenarios for WMS functional modules (Inbound, Outbound, Inventory, Slotting, Labor Management).
Lead and execute functional, integration, system, smoke, and regression tests to validate WMS workflows and configurations
Lead the design, development, and maintenance of scalable, reusable and reliable automated test frameworks and scripts using Selenium and Python and custom tools to improve efficiency.
Integrate automated test suites into CI/CD pipelines using Jenkins
Identify, log, track, and proactively drive resolution of defects ensure comprehensive regression coverage
Analyze test results to provide actionable insights for product quality improvements
Collaborate closely across cross-functional, geographically dispersed Agile teams including developers, business analysts, and product managers in all phases of the SDLC.
Mentor and provide technical guidance to junior QA engineers, fostering skill growth and standards adherence.
Participate actively in design and code reviews to ensure testability, maintainability, and best coding practices.
Continuously improve test coverage, automation efficiency, and process quality through research and adoption of best practices and new tools.
Contribute to QA metrics tracking and reporting for management and stakeholders.
Leverage AI and machine learning tools to optimize test case selection, reduce manual effort, and accelerate defect detection.
Integrate AI-driven test generation tools into the automation pipeline to enhance test suite robustness and adaptability
Stay updated on trends in AI for software quality and advocate for the adoption of relevant tools and processes to continuously improve product quality
Use AI-based analytics platforms to identify patterns in test results, predict high-risk areas, and recommend test coverage improvements
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