Description

KEY RESPONSIBILITIES

●Design, develop, and maintain automated test frameworks using Selenium and/or Cypress for web application testing.

●Build and execute comprehensive API test suites using Postman and SoapUI, covering functional, regression, and contract testing.

●Lead performance and load testing initiatives using JMeter; analyze results and work with engineering teams to address bottlenecks.

●Write and optimize complex SQL queries for data validation, test data setup, and backend verification.

●Manage test planning, defect tracking, and test cycle reporting in JIRA; maintain dashboards for QA metrics and release readiness.

●Collaborate with developers, product managers, and DevOps to integrate automated tests into CI/CD pipelines.

●Conduct root cause analysis on defects, document findings, and drive quality improvements across the SDLC.

●Define QA best practices and contribute to test strategy documentation; mentor junior QA engineers as needed.

REQUIRED SKILLS & QUALIFICATIONS

●8+ years of hands-on software testing experience with a strong focus on automation.

●Proficiency in Selenium WebDriver and/or Cypress for end-to-end UI test automation.

●Solid experience with API testing tools — Postman (collections, environments, Newman) and SoapUI (functional and security testing).

●Demonstrated expertise with JMeter for performance, load, and stress testing; experience interpreting and presenting test results.

●Strong SQL skills for test data management, result validation, and database-layer testing.

●Hands-on experience with JIRA for test case management, defect tracking, sprint ceremonies, and QA reporting.

●Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, or similar) and integrating automated tests into build workflows.

●Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience).

NICE-TO-HAVE SKILLS

Candidates with the following experience will be given strong preference:

●Experience testing AI/ML-powered systems or intelligent automation pipelines.

●Hands-on validation of OCR/ICR extraction accuracy — including confidence score thresholds, field-level accuracy benchmarks, and edge-case document testing.

●Familiarity with model output validation techniques — checking for hallucination, classification drift, or regression in prediction quality.

●Exposure to tools such as Great Expectations, Deepchecks, or custom data validation frameworks for ML pipeline quality.

●Experience with cloud environments (AWS, Azure, or GCP) and testing microservices or serverless architectures.

●ISTQB, CSTE, or equivalent QA certification is a plus

Key Skills

Education

Any Graduate