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Bangalore, Karnataka, IN
Job Summary
We are seeking a QA Engineer with 3+ years of experience in Professional Services Automation (PSA) applications manual testing, automation, and API testing, who can also leverage AI tools to improve testing speed, coverage, and quality. You will work closely with Product and Development teams to ensure reliable releases through strong test design, automation frameworks, and data-driven quality practices.
Job Requirements
Manual Testing:
- Analyze requirements/user stories and create test plans, test scenarios, and detailed test cases
- Execute functional, regression, smoke, sanity, exploratory, and UI testing across web/mobile applications
- Ensure end-to-end validation of workflows, edge cases, and cross-browser compatibility
API Testing:
- Perform REST API testing using Postman/Swagger (or similar)
- Validate request/response payloads, headers, status codes, error handling, and auth (JWT/OAuth basics)
- Support API automation and maintain reusable API test suites
Automation Testing:
- Design, develop, and maintain automation test scripts for UI and API
- Build/maintain automation frameworks using tools like:
- Selenium / Playwright / Opkey
- RestAssured / Postman + Newman / SuperTest (API)
- Integrate automation with CI/CD pipelines and improve execution reliability
- Track automation coverage and continuously optimize flaky tests
AI-Assisted QA / Testing:
- Use AI tools (e.g., ChatGPT/Copilot or equivalent) to:
- Generate/refine test cases, test data, and edge-case scenarios
- Assist in writing/optimizing automation scripts and locators
- Summarize logs, identify patterns in failures, and accelerate RCA
- Apply AI responsibly while ensuring correctness, security, and adherence to engineering standards
Collaboration & Quality Process:
- Log and track defects using Jira/Azure DevOps, ensuring clear repro steps and evidence
- Participate in Agile ceremonies (standups, grooming, sprint planning, retrospectives)
- Provide release sign-off inputs via test reports, metrics, and risk assessment
Required Skills & Technical Competencies:
Core QA:
- Strong knowledge of SDLC/STLC, defect lifecycle, and QA best practices
- Hands-on experience in test case design techniques (boundary, equivalence, negative testing)
- Experience with Agile/Scrum teams
Automation & Programming:
- Strong exposure to at least one language: Java / Python / JavaScript/TypeScript
- Familiarity with test frameworks: TestNG/JUnit, PyTest, Mocha/Jest
- Experience with Git and branching strategies
API & Tools:
- Proficiency in Postman, collections, environments, and Newman runs
- Knowledge of HTTP methods, JSON, status codes, and API validation
- Basic understanding of microservices (good to have)
Database & Debugging:
- Ability to write SQL queries for validation (joins, filters, aggregates)
- Ability to read logs and use browser dev tools for troubleshooting
CI/CD & Test Management (Good to Have):
- CI/CD exposure: Jenkins / GitHub Actions / GitLab CI / Azure Pipelines
- Reporting: Allure / Extent Reports
Nice to Have (Plus Skills):
- Performance testing basics using LoadRunner/JMeter.
- Docker/containers basics for test environment setup
Education
Job Segment:QA Engineer, Quality Assurance, Developer, Java, Engineer, Engineering, Technology
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