QA Automation & Manual Engineer - 241476

QA Automation & Manual Engineer | AI Startup

About the Company

An innovative AI startup developing cutting-edge artificial intelligence solutions across multiple industries. The company is experiencing rapid growth and offers a dynamic, technology-driven environment where you'll have a direct impact on product quality and the development process.

About the Role

This role combines manual testing and test automation, offering the opportunity to take ownership of quality throughout the entire software development lifecycle. You will be responsible for designing and executing test scenarios, developing and maintaining automation frameworks, performing end-to-end testing, validating APIs, and collaborating closely with Development, Product, and AI teams.

This position is ideal for someone who enjoys being hands-on with both manual testing and automation while working in a fast-paced, innovative AI environment.

Responsibilities

• Perform manual testing for Web and Mobile applications.
• Develop, maintain, and enhance test automation frameworks.
• Design and execute test cases while documenting defects.
• Perform functional, regression, integration, and end-to-end testing.
• Validate REST APIs using industry-standard testing tools.
• Execute SQL queries for data validation and verification.
• Collaborate closely with Development, Product, and AI teams in an Agile environment.
• Contribute to CI/CD processes and continuously improve QA methodologies.

Requirements

Must Have

• 2+ years of experience in Software QA.
• Hands-on experience with both manual testing and test automation.
• Experience designing and executing test cases.
• Experience testing REST APIs.
• Working knowledge of SQL.
• Experience working in Agile environments.
• Strong English communication skills.

Nice to Have

• Experience with Selenium, Playwright, or Cypress.
• Automation development experience using Python or Java.
• Experience with Jenkins, Git, and Docker.
• Familiarity with Azure DevOps or Jira.
• Experience testing AI, Machine Learning, or LLM-based products.
• Experience working with cloud platforms such as AWS, Azure, or GCP.