Responsibilities
1. Testing Support & Quality Assurance

Support end‑to‑end system testing, integration testing, regression testing, and UAT support

Review functional and technical specifications to derive effective test scenarios

Prepare and maintain test cases, test data, and execution results

Log, track, verify, and retest defects using defect management tools

Ensure testing compliance with SDLC, QA standards, and governance requirements
2. Test Automation Development

Design, develop, enhance, and maintain test automation frameworks for UI, API, and backend testing

Develop reusable automated test scripts aligned with project standards

Integrate automation scripts into CI/CD pipelines where applicable

Analyze automation results and report quality metrics

Continuously improve automation coverage, stability, and efficiency
3. Performance Testing

Participate in performance test planning including workload modeling and test strategy definition

Design and develop performance test scripts (e.g. load, stress, volume, endurance tests)

Execute performance tests and monitor system behavior

Analyze test results to identify performance bottlenecks and risks

Work with development, infrastructure, and architecture teams to resolve performance issues

Prepare performance test reports with conclusions and recommendations
4. Test Environment & Data Management

Support test environment setup, configuration, and troubleshooting

Coordinate with infrastructure and DevOps teams on performance test environments

Prepare and manage test data for automation and performance testing
5. AI Testing Strategy & Execution

Establish comprehensive AI testing frameworks, including:
Data quality and data drift testing

Model performance and stress testing

Bias, fairness, and explainability testing

Integration, system, regression, and user acceptance testing for AI‑enabled systems

Oversee or perform test planning, test case design, test execution, defect management, and test reporting for AI and GenAI solutions.
6. Vendor & Cross‑Functional Collaboration

Assess vendor‑provided AI solutions, models, and tools through structured testing, validation, and proof‑of‑concept activities.

Act as a bridge between QA, IT, data, risk, and business teams to ensure AI solutions are production‑ready and meet enterprise quality standards.
7. Continuous Improvement & Collaboration

Contribute to testing best practices, standards, and frameworks

Support QA transformation initiatives (e.g. shift‑left testing, automation‑first approach)

Mentor junior QA members when required

Participate in project meetings, walkthroughs, and quality reviews

Qualification
Technical Skills

Solid knowledge of software testing methodologies and SDLC

Hands‑on experience in test automation development

UI automation (e.g. Selenium, Playwright, Cypress, etc.)

API automation (e.g. REST‑based testing)

Hands‑on experience with performance testing tools
(e.g. JMeter, LoadRunner, Gatling, or equivalent)

Programming / scripting experience
(e.g. Java, Python, JavaScript, or similar)

Experience with defect tracking and test management tools

Understanding of CI/CD concepts and DevOps practices is an advantage

Good understanding of web‑based, distributed, or microservices architecture
Soft Skills

Strong analytical and problem‑solving skills

Good communication and documentation skills

Ability to work independently and as part of a team

Proactive, detail‑oriented, and quality‑driven mindset
Experience & Education

Bachelor’s degree in computer science, Information Technology, or related discipline

5-10 years of experience in software testing, QA engineering, or automation/performance testing roles

Experience in enterprise or large‑scale systems is preferred
Nice to Have

Experience in Agile / DevOps delivery environments

Exposure to cloud platforms and container‑based systems

Industry certifications related to testing or quality assurance

Knowledge of monitoring tools and non‑functional testing beyond performance (e.g. reliability, capacity)

Full-time