Assistant Manager | Testing Automation | Bengaluru | Engineering as a Service/ Operate
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, Bangalore metro, mid-level QA title, and broad skillset amplify applicant competition.
Platform-specific Power Platform, Copilot and Azure ML testing raise background fit sensitivity to high.
Explicit 3+ years, mandated Power Platform experience and specific tools raise shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Lead test planning, execution, and quality assurance for Microsoft Power Platform and Copilot Studio solutions, including low-code applications, automated workflows, APIs, and conversational AI.
Perform functional, regression, integration, end-to-end, performance, and API testing, leveraging tools like Postman and JMeter, ensuring data integrity and compliance across SDLC phases.
Collaborate with developers, data scientists, and stakeholders to define QA strategy, automate tests, manage defects, and communicate release readiness.
Minimum Requirements
3+ years of QA/testing experience, including 1–2 years testing Microsoft Power Platform solutions.
Hands-on experience with testing Power Automate workflows, Dataverse, connectors, Azure Databricks, Azure Storage, and Copilot Studio/chatbot testing.
Proficiency in API testing with Postman and/or Python scripting, performance testing using JMeter or LoadRunner, and defect tracking using Azure DevOps or Jira.
Work Experience Required: 3+ years QA experience; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in complex testing environments involving low-code platforms, AI/ML components, chatbot conversational flows, and cloud-based Azure services.
Skilled in automation scripting for APIs and chat flows, with a strong focus on quality across functional and non-functional dimensions including performance and compliance.
Able to work cross-functionally with technical and business teams to influence testing standards, reuse test assets, and integrate QA practices into CI/CD pipelines.