Website:
momentummetropolitanservices.co.in
Job details:
Role Purpose
Ensure the end-to-end quality of the MWL Platform, with a specific focus on Gemstone
and VisualWorks applications, through comprehensive functional, integration,
regression, data, and non-functional testing. Drive quality engineering practices that
improve defect prevention, strengthen test coverage, and support reliable, scalable, and
stable platform capabilities.
Requirements
- Minimum 8-10 years of testing experience with strong expertise in technical
testing, integration testing, data validation, and regression testing.
- Hands-on experience testing enterprise platforms, legacy systems, workflow
solutions, and integrated financial services applications.
- Strong experience with API automation using Karate/Postman and UI automation
using Playwright.
- Experience with SQL, MongoDB, PostgreSQL, or equivalent databases.
Duties and Responsibilities
KEY ACCOUNTABILITIES/KRAs/KPIs
- Perform end-to-end manual and automated testing across MWL Platform
applications.
- Execute functional, regression, system integration, end-to-end, performance,
compatibility, reliability, and stability testing.
- Conduct testing gap analysis between requirements and existing solutions.
- Ensure user stories are testable with clearly defined acceptance criteria.
- Define and enforce quality standards during PI planning and sprint cycles.
- Develop, maintain, and execute test plans, test scenarios, test cases, and execution
reports.
- Build and maintain automation frameworks and reusable test assets.
- Execute and maintain automated regression suites.
- Implement API and UI automation solutions aligned with engineering standards.
- Validate integration points across internal, legacy, and external systems.
- Perform data integrity, reconciliation, and calculation testing.
- Validate investment, client, policy, product, and transactional data across systems.
- Use SQL and database tools for backend data validation and defect analysis.
- Participate actively in backlog refinement, sprint planning, and PI planning
sessions.
- Drive early defect detection and prevention practices.
- Collaborate with Developers, Product Owners, and Business Analysts to ensure
quality delivery.
- Demonstrate testing outcomes and solution quality to stakeholders.
- Promote collective ownership of quality across Agile squads.
- Continuously improve QA practices, automation strategy, and testing standards.
- Utilize AI-assisted testing practices including test case generation, defect
prediction, risk-based testing, and intelligent automation.
- Ensure governance, validation, and responsible use of AI-generated testing
artifacts
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