Straive
Senior Qa Analyst
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Chennai, Tamil Nadu, India
Work mode:
Hybrid
Published on:
9 September 2026
What they need
Role: Senior QA Automation Analyst
Experience: 5+ Years
Location: Chennai
Notice period: Only early joiners are preferred
Domain: Financial Services / Banking / BFSI domain exposure
Role Overview This role is responsible for end-to-end quality assurance, test case creation, and test automation for enterprise software applications. The team needs a seasoned QA Analyst to improve overall test coverage, catch defects early, and support rapid release cycles within an Agile/DevOps environment. Its core purpose is to drive both functional and automated testing standards while safeguarding software quality and business continuity.
Key Responsibilities
- Define end-to-end (E2E) testing scope, write test cases, and manage test execution.
- Build, maintain, and execute robust test automation suites and scripts to support rapid software releases.
- Manage defect lifecycles in JIRA and create daily/weekly testing status and blocker reports.
- Analyze business, functional, technical, and UI requirements across the SDLC.
- Perform API testing (Postman, RestAssured) and investigate production issues by recreating them in test environments.
- Collaborate across development, testing, and support teams to clarify specifications and mitigate risks.
Core Requirements & Eligibility
- Experience: 5+ years of experience in a QA Automation role. (Hands on QA experience in the Financial Services/BFSI industry is highly preferred).
- Education: Bachelor's/University degree or equivalent.
Skillset Breakdown
- Primary (Must-Have): Automation Framework Development (Selenium / Cucumber / TestNG / Cypress), Programming (Java / Python), API Testing (Postman, RestAssured), CI/CD & Build Tools (Jenkins, Maven/Gradle, Git), SQL Database querying, Agile/Scrum/DevOps, BDD/TDD frameworks, Defect Management (JIRA).
- Secondary (Nice-to-Have): Performance Testing (JMeter, LoadRunner), AI-driven testing (self-healing locators, visual comparison), Basic AI prompt engineering for test artifact generation, Non-functional testing (Recovery testing).
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