Description

You will own the end-to-end test automation strategy for client-facing applications, data platforms, and AI/ML services.

Responsibilities

• Design, develop, and maintain automated test suites using Selenium and Java to validate application functionality and API integrations.
• Perform comprehensive database testing on AWS Aurora and PostgreSQL, including schema validation and complex query verification.
• Test data analytics workflows and AI/ML pipelines in Databricks, focusing on feature engineering and data drift observability.
• Validate GenAI service integrations via AWS Bedrock, ensuring latency, error handling, and prompt/response accuracy.
• Represent the QA team in Agile ceremonies, contributing to sprint planning, estimation, and technical testing discussions.

Required Skills

• 5-7 years of QA experience, with at least 2 years of hands-on test automation.
• Proficiency in Selenium WebDriver and Java for building robust automation frameworks.
• Strong SQL skills and experience testing relational databases (PostgreSQL, AWS Aurora).
• Experience with API testing and CI/CD pipeline integration (Jenkins).
• Deep understanding of Agile methodologies and experience in scrum environments.
• Knowledge of cloud fundamentals, specifically AWS services and networking.
• Familiarity with testing tools such as TestNG, Postman, and Docker.

Preferred Skills

• Experience testing AI/ML models, including prompt validation and GenAI workflows.
• Exposure to Databricks, AWS Bedrock, and data pipeline observability.

Key Skills

Education

Any Graduate