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 up-to-date 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.

📌 Quality Assurance Engineer (Bengaluru)
🏢 Speedioo
📍 Bengaluru