Seeking a detail-oriented QA Engineer to ensure the quality, performance, and reliability of solutions built with Microsoft Power Platform and Copilot Studio. This role involves testing low-code applications, automated workflows, APIs, and conversational AI. You will collaborate closely with developers, data engineers, and business stakeholders to define and execute test strategies.

Your primary focus will be on validating data integrations, AI/ML features, and ensuring seamless user experiences across various components. This is a hybrid role based in Pune.

Define and maintain the QA strategy and test approach for Power Platform and Copilot Studio solutions. Create, review, and execute comprehensive test plans and scripts throughout the SDLC. Conduct various testing types including functional, smoke, regression, integration, and end-to-end scenarios. Validate data integrity, security roles, and relationships within Dataverse and Power Automate flows. Design and execute conversational test scenarios for chatbots, ensuring effective handling of context and errors. Perform API testing for REST services and Azure ML endpoints using tools like Postman and JMeter. Test data integrations involving Azure Databricks and Azure Storage. Plan and execute performance and load tests, simulating real-world traffic and analyzing results. Identify, document, and track defects using Azure DevOps or Jira. Communicate test status, risks, and release readiness to all stakeholders. Collaborate with cross-functional teams to clarify requirements and acceptance criteria. Contribute to enhancing QA best practices and automation frameworks.

A minimum of 3 years of QA experience, with 1-2 years specifically focused on Microsoft Power Platform solutions. Proficiency in testing Power Automate workflows and data-centric applications. Solid understanding of Dataverse, connectors, Azure Databricks, and Azure Storage. Familiarity with Copilot Studio or chatbot testing methodologies. Strong grasp of software testing principles and defect lifecycle management. Experience with API testing using Postman and scripted validation (Python is a plus). Hands-on experience with performance testing tools like JMeter or LoadRunner. Ability to validate AI/ML outputs and collaborate with data teams. Experience developing and maintaining automation scripts for APIs, regression suites, and chatbot validation. Familiarity with tools like Azure DevOps, Postman, and Selenium with Python automation is essential.