Senior Software Engineer

Michelin · Pune Division

  • Experience5–7 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelsenior
  • Posted10 Sept 2026
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About Michelin

Michelin is hiring in Pune Division in automotive mobility. This role looks for around 5+ years of experience.

Skills

  • React
  • TypeScript
  • HTML5
  • CSS3
  • Fluent UI React
  • .NET 8.0
  • C#
  • Python
  • RESTful APIs
  • Swagger/OpenAPI
  • Kafka
  • Prompt engineering
  • Azure OpenAI
  • Large language models
  • Retrieval Augmented Generation
  • Docker
  • Azure Kubernetes Service
  • Terraform
  • Azure AD
  • Managed Identities
  • Azure AI Search
  • API Management
  • App Services
  • Application Gateway
  • Storage Accounts
  • Virtual Networks
  • Key Vault
  • Static Web Apps
  • MongoDB
  • Git
  • Azure DevOps
  • Azure Application Insights
  • Log Analytics

The role

A full-stack developer at an automotive mobility company builds cloud-native AI applications using Generative AI, Azure services, and .NET, integrating secure APIs, conversational interfaces, and scalable infrastructure. React and Python support responsive web experiences, backend microservices, and enterprise delivery.

Full job description

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Mission

Design and deliver secure, scalable, cloud‑native AI web applications by combining modern full‑stack engineering with Generative AI and Azure services—enabling reliable, high‑performance digital solutions for enterprise use.

KEY EXPECTED ACHIEVEMENTS

Frontend Development

Build responsive, high‑performance, and maintainable user interfaces using React (TypeScript), HTML5, CSS3, and Fluent UI ReactEnsure cross‑browser compatibility and optimal user experience

Backend Development

Design and develop secure, efficient backend APIs and microservices using .NET 8.0 (C#) and PythonDesign RESTful APIs with Swagger/OpenAPI documentationIntegrate and manage Kafka pipelines for real‑time data streaming and asynchronous communication

AI / LLM Integration

Design and implement prompt engineering strategies for Azure OpenAI and other LLM servicesBuild conversational AI and chat‑based applicationsOptimize prompts for accuracy, context handling, and token efficiencyImplement RAG (Retrieval Augmented Generation) patterns for context‑aware AI responses

Cloud & Infrastructure

Containerize and orchestrate applications using Docker and Azure Kubernetes Service (AKS)Provision and manage infrastructure using Terraform (IaC)Implement authentication and authorization using Azure AD and Managed Identities

Azure Services Integration

Design and integrate Azure services including Azure OpenAI, Azure AI Search (Vector DB), API Management, App Services, Application Gateway, Storage Accounts, Virtual Networks, Key Vault, and Static Web Apps

Database Management

Design and optimize MongoDB data modelsManage indexing strategies and query performance for structured and unstructured data

DevOps & CI/CD

Implement and maintain Azure DevOps CI/CD pipelinesManage source code using Git and standard branching strategiesEnsure automated builds, testing, and deployments

Monitoring & Quality

Implement observability using Azure Application Insights and Log AnalyticsEnsure code quality, scalability, security, and performance best practicesConduct code reviews and enforce coding standards

Collaboration & Leadership

Collaborate with AI engineers, DevOps, UX/UI designers, and Product ManagersMentor junior developers and contribute to technical decision‑making