Lead Quality Assurance Engineer

Ajackus; Maharashtra; On-site; INR 600,000 - 900,000; Full time

Job summary

Ajackus is seeking an experienced QA Engineer to design and execute comprehensive test plans across web and mobile apps. You will leverage AI-assisted tools for faster test case generation, defect analysis, and documentation, while performing API testing and SQL validation. Collaboration with developers and product teams in an Agile environment is essential.

The role emphasizes end-to-end validation, security awareness, and mentoring junior QA engineers to uplift testing practices and standards.

Qualifications

• Bachelor’s degree in CS/IT or related field.
• Minimum 5 years of Manual Software Testing experience.
• Experience with AI-assisted productivity/testing tools.
• Strong experience testing web and mobile applications.
• Hands-on API testing and database validation.
• Exposure to security testing concepts.
• Knowledge of AI-driven testing frameworks is a plus.

Responsibilities

• Design, develop, and execute comprehensive test plans, test cases, and test scenarios.
• Identify critical test coverage areas and ensure end-to-end validation of applications.
• Perform functional, regression, integration, exploratory, and user acceptance testing.
• Collaborate with development teams to ensure timely issue resolution.
• Work with product managers to understand requirements and define test scenarios.
• Mentor junior QA engineers and support the team in testing practices and tools.
• Participate in sprint ceremonies within Agile teams.

Skills

Manual testing

AI-assisted testing

Web & mobile testing

APIs testing

Defect analysis

Education

Bachelor’s degree in CS/IT

Tools

Postman

SOAP UI

Selenium

Cypress

JIRA

Job description

Responsibilities

• Design, develop, and execute comprehensive test plans, test cases, and test scenarios.
• Identify critical test coverage areas and ensure end-to-end validation of applications.
• Perform functional, regression, integration, exploratory, and user acceptance testing.
• Utilize AI-powered QA/testing tools to accelerate test case generation, bug analysis, documentation, and testing workflows.
• Leverage AI tools to improve productivity, defect prediction, and testing efficiency.
• Identify, document, prioritize, and track defects using tools such as JIRA or similar platforms.
• Collaborate closely with development teams to ensure timely issue resolution.
• Work with product managers, developers, and business stakeholders to understand requirements and define effective test scenarios.
• Perform API testing using tools such as Postman or SOAP UI.
• Validate backend data using SQL queries and database testing techniques.
• Conduct usability, exploratory, and basic performance testing to enhance user experience and application reliability.
• Contribute to improving QA methodologies, documentation standards, and testing best practices.
• Explore innovative AI-assisted QA approaches for process optimization.
• Mentor junior QA engineers and support the team in adopting efficient testing practices and tools.
• Collaborate effectively within agile teams and participate in sprint ceremonies.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum 5 years of experience in Manual Software Testing.
• Practical experience using AI tools such as Copilot, Gemini, Cursor, or similar AI-assisted productivity/testing tools.
• Strong experience testing web and mobile applications.
• Hands-on experience with API testing and database validation.
• Understanding of how AI can improve QA efficiency, test generation, debugging, and documentation.
• Strong analytical, troubleshooting, and debugging skills.
• Excellent verbal and written communication skills.
• Ability to thrive in a fast-paced, collaborative, and detail-oriented environment.
• Basic understanding of automation testing tools such as Selenium or Cypress.
• Exposure to security testing concepts and vulnerability identification.
• Contributions to QA best practices and process improvement initiatives are preferred.
• Understanding of AI-driven testing frameworks or intelligent test automation concepts is an added advantage.