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Assistant Manager | Testing Automation | Hyderabad | Engineering as a Service/ Operate

Deloitte
IND
Hybrid
Discovered 1 months ago
Quality assurance testingTest automationMicrosoft Power PlatformCopilot StudioPower AutomateDataverse

Full Job Posting

Role Overview

Hybrid QA Engineer role testing Microsoft Power Platform and Copilot Studio solutions with data integrations and AI/ML-enabled features.

The role leads test planning and execution across low-code applications, automated workflows, APIs, custom connectors, and conversational AI experiences.

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, and end-to-end testing.
  • Ensure traceability between requirements, test cases, defects, and releases.
  • Validate Dataverse and Databricks tables, Power Automate flows, relationships, security roles, and data-integrity rules.
  • Design and execute conversational test scenarios for multi-turn context, ambiguity handling, and error recovery.
  • Perform regression testing for AI bot behavior changes caused by configuration, connector, or model updates.
  • Test REST services, Azure ML endpoints, custom integrations, and data pipelines.
  • Plan and execute performance and load tests for workflows and APIs using JMeter.
  • Track defects and communicate test status, risks, and release readiness to stakeholders.
  • Collaborate on acceptance criteria and non-functional requirements.
  • Develop 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 or custom connectors, Azure Databricks, and Azure Storage.
  • Familiarity with Copilot Studio or chatbot testing methodologies, including NLU, multi-turn flows, and fallback handling.
  • Strong knowledge of test design, execution, defect lifecycle, and reporting.
  • REST API testing experience using Postman and/or scripted validation; Python is preferred.
  • 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 behavior.
  • Basic understanding of prompts and edge cases for AI-agent evaluation.
  • Develop and maintain automation scripts for API testing, regression suites, and chat-flow validation.
  • Build automated chatbot-response validation using pattern matching, similarity scoring, or semantic validation where applicable.

Preferred Qualifications

  • Microsoft Power Platform or Data Analytics/AI certifications are preferred.
  • Cloud-based testing environment experience, preferably Azure, is preferred.
  • Knowledge of accessibility, usability, and security testing is preferred.
  • CI/CD pipeline and performance-testing integration exposure is preferred.
  • Agile/Scrum experience with Azure DevOps pipelines for Power Platform or Copilot deployments is preferred.
  • Understanding of responsible AI principles, LLM-based systems, prompt engineering, RAG architecture, and multi-agent workflows is preferred.

Tools and Technologies

  • Azure DevOps.
  • Postman.
  • Selenium with Python automation.

Workplace

  • Location type is hybrid.

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