• Analyze business requirements, functional documents, and technical specifications.

• Develop and maintain Test Plans, Test Scenarios, Test Cases, Test Scripts, and Test Steps.

• Perform manual testing, including Functional, System, Integration, and Acceptance Testing.

• Execute regression testing before each release to ensure application stability.

• Identify, log, track, and report defects using JIRA, and follow through to closure.

• Participate in defect discovery, issue identification, and root cause analysis.

• Validate application behavior during system and unit testing phases.

• Perform Acceptance Testing (UAT) to ensure business requirements are met.

• Support regression, load, and performance testing activities (exposure level).

• Maintain clear test tracking, documentation, logging, and reporting.

• Collaborate closely with developers, product owners, and stakeholders.

• Follow SQA best practices, testing standards, and quality processes.

• Demonstrate interest in learning and transitioning to automation testing over time.

Technical Skills

Manual Testing (Required)

• Strong understanding of SDLC, STLC, and test design techniques

• Hands-on experience in:

  • Test case creation and execution

  • Defect lifecycle management

  • Regression and acceptance testing

• Experience using JIRA for defect tracking.

• Basic understanding of software architecture, system behavior, and program logic.

Automation Exposure (Basic / Preferred)

• Basic exposure or hands-on experience with test automation tools such as:

  • Selenium / WebDriver (preferred)

• Familiarity with automation concepts such as:

  • Test scripts, test frameworks, and execution flows

• Knowledge of any scripting language (Java / Python) is an added advantage.

• Willingness to upskill in automation testing as part of career growth.

Soft Skills

• Strong analytical and problem-solving skills

• Excellent attention to detail and commitment to quality

• Effective communication and collaboration abilities

• Ability to work efficiently in a fast-paced environment

• Proactive attitude toward continuous learning and professional development

Education

• Bachelor’s degree in Computer Science, Engineering, or a related field (preferred)