Apprentice - IT (Azure PaaS Developer)

Eaton Corporation; Pune District; On-site; INR 300,000 - 420,000; Full time

Job summary

Eaton Corporation is seeking an Apprentice Azure PaaS Developer in Pune to join our Information Technology team. You will work under senior developers to design, build, and operationalize cloud-native applications on Azure PaaS and to develop expertise in enterprise AI with a focus on Copilot Studio.

You will contribute to building AI agents, integrating with enterprise data, and supporting CI/CD pipelines using Azure DevOps.

Qualifications

• Bachelor’s degree in Engineering (B.E./B.Tech) or equivalent in CS/IT/SE/AI/DS.
• Strong software fundamentals and programming experience.
• Interest in AI capabilities and cloud platforms.

Responsibilities

• Develop and deploy cloud-native apps on Azure PaaS (App Service, Functions, Logic Apps).
• Build and refine AI agents using Copilot Studio.
• Assist with CI/CD pipelines and DevOps practices in Azure DevOps.

Skills

Object-oriented programming

Data structures

REST APIs

C# / Python / JavaScript

Education

B.E./B.Tech in CS/IT/Software Engineering/AI/Data Science

Tools

Git

Azure DevOps

Azure App Service

Azure Functions

Logic Apps

API Management

Job description

What you’ll do:

We are looking for a motivated and curious Apprentice to join our Information Technology team as an Azure PaaS Developer. This role is ideal for an early-career technologist who is eager to build cloud-native applications on Microsoft Azure Platform-as-a-Service (PaaS) and to develop deep, hands‑on expertise in enterprise AI capabilities — with a specific focus on Microsoft Copilot Studio and the wider Microsoft AI ecosystem.

Working under the guidance of senior developers and architects, you will help design, build, and operationalize solutions and low-code/pro-code AI agents that solve real business problems, while learning enterprise engineering, security, and responsible‑AI practices along the way.

• Assist in developing, testing, and deploying cloud-native applications and services on Azure PaaS (App Service, Azure Functions, Logic Apps, API Management, Azure SQL, and Storage)
• Build, configure, and refine conversational and agentic AI solutions using Microsoft Copilot Studio (topics, actions, generative answers, and knowledge sources)
• Integrate Copilot Studio agents with enterprise data and services using connectors, Power Platform, and REST APIs
• Support prompt design, testing, and tuning to improve accuracy, relevance, and safety of AI responses
• Assist with CI/CD pipelines, source control, and automated deployments using Azure DevOps and Git
• Collaborate with engineers and business analysts to understand requirements and translate them into technical tasks
• Document designs, configurations, and learnings clearly for the team
• Follow best practices for responsible AI, data governance, and security across all solutions

Qualifications:

• Bachelor’s degree in Engineering (B.E./B.Tech) or equivalent, with specialization in:
  • Computer Science
  • Information Technology
  • Software Engineering
  • Artificial Intelligence / Data Science (with strong software fundamentals)

Skills:

• Strong fundamentals in:
  • Object-oriented programming and software design
  • Data structures and basic algorithms
  • Web and API concepts (REST, JSON, HTTP)
• Working knowledge of at least one programming language such as C#, Python, or JavaScript/TypeScript
• Foundational understanding of Microsoft Azure and cloud computing concepts (compute, storage, networking, identity)
• Interest in and foundational knowledge of AI capabilities, including:
  • Microsoft Copilot Studio — building topics, actions, and generative answers
  • Large Language Model (LLM) and generative-AI concepts, including prompt engineering
  • Grounding agents with knowledge sources and enterprise data
• Basic understanding of SQL and working with relational data
• Familiarity with source control (Git) and collaborative development
• Exposure to:
  • Microsoft Power Platform (Power Apps, Power Automate, Dataverse)
  • Azure AI services such as Azure OpenAI, Azure AI Foundry, or Azure Cognitive Services
  • Microsoft 365 Copilot and its extensibility model
  • Azure DevOps, CI/CD pipelines, and Infrastructure-as-Code (Bicep/ARM/Terraform)
• Academic or personal projects involving:
  • Chatbots, virtual agents, or conversational AI
  • Cloud-hosted web apps or APIs
  • Automation or integration workflows
• Relevant Microsoft certifications (e.g., AZ-900, AI-900, PL-900)