Top QA Jobs in Mumbai

Lead QA Automation Engineer responsible for defining automation strategy, building and maintaining automation frameworks, developing automated test cases (UI and API), leading QA across squads, coordinating testing activities with business and tech teams, participating in agile ceremonies, and mentoring QA engineers.

Validate, maintain, and onboard equity and cross-asset research data for index construction. Implement data validation checks, perform monthly and historical data QA, run UAT for pipelines, build data dictionaries and dashboards, automate processes, and collaborate with vendors, engineering, and research to resolve data issues.

Lead and execute QA strategy with an automation-first, AI-enabled approach across UI, API, and backend layers for asset-management systems. Design and evolve test frameworks, embed AI for test generation and triage, enable cloud-native and distributed-system testing, ensure regulatory and audit readiness, and lead global QA teams while partnering with product, engineering, and platform functions.

Design, maintain, and execute functional and automated test cases for distributed FinTech systems. Validate workflows, write SQL queries for test data/validation, report and retest defects, build reliable test suites (functional, regression, integration, API, performance), simulate market events, and champion QA best practices across the SDLC while collaborating with developers and product teams.

The Business Analyst will bridge IT and business objectives, ensuring successful analytical, testing, and deployment tasks for web-based product features.

As a QA Engineer in DevOps, you will test and analyze requirements, write test cases, debug environments, and investigate customer scenarios.

The Jr Engineer QA will maintain quality standards for products, design testing procedures, analyze data, and recommend improvements in electronic components.

Lead regional partner strategy and revenue growth by building and managing strategic alliances with Global System Integrators. Create joint plans, evangelize Tricentis solutions, source partner-led opportunities, run co-sales programs, execute workshops, maintain CRM pipeline, and exceed regional sales targets.

Responsible for ensuring quality and accuracy of wealth management applications through manual and automated testing, leading QA activities, developing test scripts, validating workflows, and collaborating with stakeholders.

The Quality Assurance Specialist monitors and evaluates back office data entry performance, prepares quality reports, conducts audits, and collaborates with various departments to address QA issues.

Lead QA for enterprise LLM, RAG, and AI agent applications: design benchmarks, build automated evaluation and observability pipelines, validate retrieval and agent workflows, implement Python/Pytest automation, create Playwright UI tests, integrate quality gates into CI/CD, perform performance validation and root cause analysis to ensure production readiness.

Lead QA team for a product HRMS, define test strategy and plans, perform manual and automated testing (web/mobile), build/maintain Selenium automation frameworks, manage test execution and defect resolution, support production issues, and mentor junior QA members.

Design, develop, and execute automated and manual test cases for mobile and web apps using Java and Appium. Perform functional, regression, integration, and UI testing across Android and iOS, document defects, and collaborate with developers to resolve issues and ensure quality before release.

Design and execute end-to-end data validation for ETL/ELT pipelines across cloud warehouses. Validate data accuracy, completeness, and integrity; develop complex SQL for analysis; run functional, regression, and integration tests; build automated data test frameworks; collaborate with engineers and product teams; track defects and mentor junior QA engineers.

The role involves leading automation strategy and framework development, executing automation projects, mentoring engineers, and ensuring integration with CI/CD pipelines while driving innovation in testing practices.

The Associate Lead will oversee QA and MLOps for AI systems, defining testing strategies, validating ML lifecycles, and leading quality initiatives with AWS services.

Responsible for manual and functional testing: design, plan, execute and document test cases and suites; report bugs in JIRA; troubleshoot and debug; collaborate with product and global development teams; assist and contribute (~20-30%) to Java/Selenium automation and maintain test frameworks; work with SQL/MS SQL and Linux as needed.

Lead and implement QA for audit and certification activities: develop QA plans, review audit files, perform observer audits, identify gaps, manage CAPA, analyze trends, support accreditation readiness, deliver training, and ensure alignment with ISO standards and accreditation requirements.

Lead QA strategy and teams across the full SDLC. Define testing standards, design and maintain scalable automation frameworks (Playwright/Selenium, BDD tools), execute performance tests with JMeter, implement shift-left/TDD/BDD practices, and use Azure DevOps/JIRA/Git and CI/CD to monitor quality metrics, drive continuous improvement, and ensure release readiness.

The QA Engineer will ensure quality in web and mobile applications through manual and automated testing, collaborating with teams to improve test strategies and processes.

The Sr. Engineer QA leads quality assurance efforts, manages audits, and develops technical improvements for operations, ensuring product integrity.

The Junior Analyst supports the operations team with quality management tasks, including data entry, claim review, analysis, and process improvement.

Design, develop, and maintain automated tests (Java/Selenium), perform API and manual testing, validate data with SQL, log and track defects, and collaborate in Agile teams to ensure software quality and test coverage.

The QA/QC Engineer will oversee quality assurance, inspection coordination, and project documentation for combustion and environmental equipment projects, ensuring compliance with specifications and standards.

Lead QA for BI program, define two-pillar testing strategy (calculation accuracy and data completeness/security), validate DAX measures and Power BI semantic models via XMLA, build automated QA test harnesses, validate dimensions/fact tables, ensure reconciliation with finance and legacy reports, and coordinate QA through report build and closeout.