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SPI TECHNOLOGIES INDIA PRIVATE LIMITED

Straive - Senior Quality Assurance Automation Analyst

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Description

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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