Lead Senior Associate | Testing Automation | Pune | Engineering as a Service/ Operate

Role: QA Engineer – Functional/Automation

Experience - Lead Senior Associate 6 to 9 Years.

Education - BE, B,Tech , MCA, BCA, BSC, MSC , any graduate.

Location Type: Hybrid 

Power Platform, Copilot Studio & Data Science Solutions

Job Description:

We are seeking a detail-oriented QA Engineer to test and assure the quality, performance, reliability, and compliance of solutions built using Microsoft Power Platform and Copilot Studio, including data integrations and AI/ML-enabled features. This role will lead test planning and execution across low-code applications, automated workflows, APIs/custom connectors, and conversational AI experiences, partnering closely with developers, data engineers/scientists, and business stakeholders.

Key Responsibilities:

·      Define and maintain QA strategy, test approach, and coverage for Power Platform and Copilot Studio solutions.

·      Create, review, and execute test plans, test cases, and test scripts across SDLC phases.

·      Perform functional, smoke, regression, integration, end-to-end testing.

·      Ensure traceability between requirements, test cases, defects, and releases.

·      Validate Dataverse/Databricks tables/entities, Power Automate flow, relationships, security roles, and data integrity rules.

·      Design and execute conversation test scenarios for multi-turn context, ambiguity handling, and error recovery.

·      Perform regression testing for AI bot behaviour changes due to configuration updates, connector changes, or model/version updates.

·      Perform API testing for REST services, Azure ML endpoints, and custom integrations using tools such as Postman/JMeter.

·      Test data integrations and pipelines involving Azure Databricks, Azure Storage and Dataverse.

·      Plan and execute performance and load tests for workflows and APIs

·      Use JMeter to simulate real-world traffic patterns and produce performance reports

·      Identify, document, and track defects using Azure DevOps, Jira, or equivalent tools.

·      Communicate test status, risks, and release readiness to stakeholders.

·      Collaborate with developers, data scientists, and product owners to clarify acceptance criteria and non-functional requirements.

·      Contribute to QA best practices, reusable test assets, and automation frameworks.

Required Qualifications:

·      3+ years of QA/testing experience, including 1–2 years testing Microsoft Power Platform solutions.

·      Hands-on experience testing Power Automate workflows and data-centric applications.

·      Working knowledge of Dataverse, connectors/custom connectors, Azure Databricks, and Azure Storage.

·      Familiarity with Copilot Studio or chatbot testing methodologies (NLU, multi-turn flows, fallback handling).

·      Strong understanding of software testing principles (test design, execution, defect lifecycle, reporting).

·      Experience with API testing (REST) using Postman and/or scripted validation (Python preferred).

·      Hands-on performance testing experience using JMeter or LoadRunner, including analysis and reporting.

·      Ability to validate AI/ML outputs and collaborate with data teams on statistical checks and model behaviour.

·      Basic understanding of designing prompts and edge cases to evaluate AI agent behaviour.

·      Develop and maintain automation scripts for API testing, Regression test suites, Chat flow validation

·      Build automated validation for chatbot responses using Pattern matching, Similarity scoring, Semantic validation (where applicable)

Preferred Qualifications:

• Microsoft Certifications in Power Platform or Data Analytics/AI.
• Experience in cloud-based testing environments (Azure preferred).
• Knowledge of accessibility, usability, and security testing.
• Exposure to CI/CD pipelines and integration of performance testing.
• Agile/Scrum project experience with Azure DevOps pipelines for Power Platform or Copilot deployments.
• Understanding of RAI principles
• Understanding of LLM-based systems, Prompt engineering basics, RAG architecture, Multi-agent workflows

Tools & Technologies:

• Azure DevOps

• Postman

• Selenium (Python automation)