Location : Gurgaon / Bangalore.

Experience : 5+ Years.

Open Positions : 3.

About the Opportunity :

We are seeking an experienced QA Automation Engineer with expertise in automation testing, API validation, integration testing, and regression testing.

Experience working with AI-driven systems will be a strong plus.

In this role, you will design and execute automated tests, contribute to building and enhancing automation frameworks, and ensure the overall quality of our products throughout the software development lifecycle.

Key Responsibilities :

- Develop, maintain, and execute automated test scripts for functional, regression, and integration testing.

- Perform API testing (Postman, RestAssured, Karate) to verify endpoints, payloads, and workflows.

- Collaborate with development and product teams to embed quality checks within CI/CD pipelines.

- Analyze test results, report defects, and ensure timely resolution using tools like JIRA.

- Maintain automation frameworks and keep test suites up-to-date to match rapid release cycles.

- Conduct exploratory testing to identify edge cases and improve coverage.

- Validate AI/ML product components, including model outputs, data integrity, and system behavior.

- Participate in code reviews, providing feedback on testability and quality best practices.

Technical Skills Required :

- Automation Frameworks : Selenium, Cypress, Playwright, or similar.

- API Testing : Postman, RestAssured, SoapUI, or Karate.

- Programming/Scripting : Java, Python, or JavaScript.

- Testing Expertise : Integration, regression, and end-to-end testing.

- CI/CD : Jenkins, GitLab CI, GitHub Actions, or similar tools.

- Version Control : Git (GitHub/GitLab).

- Test Management : JIRA, TestRail, or similar.

- AI/ML Exposure : Hands-on experience validating model results, data pipelines, or AI-driven features.

Preferred Skills :

- Familiarity with cloud platforms (AWS, GCP, Azure).

- Exposure to Docker/Kubernetes for containerized testing environments.

- Experience with performance testing tools (JMeter, Locust).

- Awareness of AI-specific challenges such as bias, explainability, and model drift.

Soft Skills :

- Strong analytical and troubleshooting capabilities.

- Excellent communication and collaboration skills.

- Detail-oriented, with a passion for delivering high-quality software.