Manual QA Engineer
Bengaluru, India · On-site · Full-time
- Posted 1mo ago
- From Qapitol QA’s careers page
- Location
- Bengaluru, India
- Work mode
- On-site
- Type
- Full-time
- Experience
- 3+ years
- Department
- Quality Assurance
Opens the listing on qapitol.ai
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About the role
What you'll own
- Perform end-to-end manual testing of web applications, APIs, backend services and databases
- Analyse business and functional requirements and prepare test scenarios, test cases and test data
- Execute functional, regression, integration, system, exploratory, smoke, sanity and UAT testing
- Perform API testing using Postman, validating request/response payloads
- Validate REST APIs, HTTP methods, status codes, headers, authentication, JSON payloads and error handling
- Perform backend/database validation using SQL queries
- Validate data flow between UI, APIs, databases and downstream/upstream systems
- Identify, document, track and retest defects using tools such as JIRA
- Participate in defect triage, working closely with developers, product owners and business teams
- Test applications across browsers, devices and environments
- Perform basic validation of AI/GenAI-enabled features - relevance, correctness, consistency and expected behaviour
- Participate in Agile ceremonies: sprint planning, grooming, daily stand-ups and retrospectives
What it takes
- 3-5 years of hands-on manual testing experience
- Strong understanding of SDLC, STLC and defect lifecycle
- Strong experience in functional, regression, integration, E2E, exploratory and UAT testing
- Hands-on API testing experience using Postman
- Good understanding of REST APIs, JSON, HTTP methods and status codes
- Good working knowledge of SQL and database validation
- Experience testing web/UI applications
- Ability to understand system integrations and perform end-to-end validation
- Experience with JIRA or similar defect-management tools
- Good analytical, troubleshooting and communication skills
- Awareness of AI, Machine Learning and Generative AI basics, including LLM concepts (GPT, Gemini, Claude or similar)
- Basic understanding of prompt/response validation, hallucination, relevance and factual correctness
Nice to have
- Basic UI/API automation exposure
- Linux commands
- Experience testing microservices
- CI/CD awareness
- Experience with cloud-based applications
- Previous exposure to chatbot, GenAI or AI-enabled application testing
Who thrives here
Testers who think in systems, not screens - who instinctively ask what happens to a value as it moves from UI to API to database and back. You're comfortable being the person who finds the edge case nobody planned for, and curious enough about AI to want to understand how a feature is supposed to behave before deciding it's wrong.
Skills they ask for
Pick one to see other roles that ask for it.
About Qapitol QA
AI assurance for the enterpriseQapitol is the independent control layer for enterprise AI, evaluating AI systems and producing evidence they can be trusted.
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Let the right jobs find you
In your inbox every Wednesday and SaturdayPersonalised suggestions from verified career pages, matched to your role, location, level and skills.