Quality Assurance Engineer

QA Automation Engineer (5–7 Years) – AI-First Quality Engineering
Location: Bangalore (On-site)
Experience: 5–7 Years
About Us
We are a fast-growing AI-powered product startup building scalable, cloud-native
applications. We believe quality should move at the speed of development, and AI should
help engineers build, test, and release software faster. We’re looking for a QA Automation
Engineer who combines strong automation expertise with a passion for leveraging AI to
improve software quality.
What You’ll Do
• Design, develop, and maintain automated test frameworks for Web, API, and backend
applications.
• Build automated regression, integration, API, and end-to-end test suites.
• Leverage AI tools (ChatGPT, GitHub Copilot, Cursor, Claude, Gemini, etc.) to accelerate
test case creation, automation development, defect analysis, and documentation.
• Use AI to generate meaningful test scenarios, improve test coverage, and identify edge
cases.
• Collaborate with developers and product managers to define acceptance criteria and
quality strategies.
• Integrate automated tests into CI/CD pipelines for continuous testing.
• Perform exploratory testing for new features and validate AI-generated test scenarios.
• Analyze production issues and use AI-assisted debugging techniques to identify root
causes.
• Contribute to improving automation frameworks, engineering productivity, and release
quality.
Required Skills
• 5–7 years of experience in Software Testing with strong hands-on automation expertise.
• Strong programming skills in Java or Python.
• Hands-on experience with Playwright, Selenium, or Cypress.
• Strong experience in API automation using Rest Assured, Postman, or similar tools.
• Good understanding of TestNG/JUnit and BDD frameworks such as Cucumber.
• Experience with Git and CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure
DevOps.
• Strong SQL skills and experience validating data across relational databases.
• Experience testing REST APIs, microservices, and cloud-native applications.
AI & Modern Engineering Expectations
• Hands-on experience using AI coding assistants such as GitHub Copilot, Cursor, ChatGPT,
Claude, or Gemini.
• Ability to use AI for:
• Test case generation and optimization.
• Automation script generation and refactoring.
• Synthetic test data creation.
• Defect analysis and root cause investigation.
• API contract validation.
• Documentation and release validation.
• Understanding of testing AI-enabled features, including prompt validation, LLM
integrations, and AI workflow testing, is a strong advantage.
Preferred Skills
• Experience with Docker, Kubernetes, and AWS/Azure/GCP.
• Exposure to performance testing using JMeter, k6, or Gatling.
• Familiarity with security, accessibility, and visual regression testing.
• Knowledge of contract testing and service virtualization.
You’ll Be a Great Fit If You
• Have a strong automation-first mindset.
• Are curious about AI and actively use it to improve engineering productivity.
• Thrive in a startup environment with high ownership and fast release cycles.
• Communicate effectively and collaborate across engineering teams.
• Continuously learn and adopt emerging tools and technologies.
Why Join Us?
• Build next-generation AI-powered products.
• Work with modern engineering practices and cutting-edge technologies.
• Influence the quality culture in a high-growth startup.
• Enjoy high ownership, rapid learning, and opportunities for career growth.

Work arrangement
No