Senior Software Engineer

Michelin

. Design and deliver secure, scalable, cloud-native AI web applications .

Posted 10/7/2026full-timePune • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and delivering secure, scalable, cloud-native AI web applications, with a strong focus on backend API development, prompt engineering for Azure OpenAI, and containerization using Docker and Azure Kubernetes Service. Proficient in optimizing data models and implementing CI/CD pipelines while ensuring code quality and collaboration across teams.

Highest-signal resume keywords

React With TypeScriptBackend API Development Using .NET 8.0 (C#)Prompt Engineering For Azure OpenAIDocker And Azure Kubernetes Service (AKS)Terraform For Infrastructure Provisioning

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Hard Skills

HTML5CSS3Fluent UI ReactPythonRESTful APIsKafka PipelinesMongoDBAzure DevOps CI/CDGitRAG Patterns

Soft Skills

CollaborationMentoringTechnical Decision-Making

Tools & Technologies

Swagger/OpenAPIAzure Application InsightsLog AnalyticsAzure ADAzure Services Integration

Industry Keywords

Cloud-Native ApplicationsConversational AIMicroservicesReal-Time Data StreamingAsynchronous Communication

Tech Stack

Tools & technologies

AzureCloudDockerKafkaKubernetesMicroservicesMongoDBPythonReactTerraformTypeScriptVault.NET

About the role

Key responsibilities & impact

Design and deliver secure, scalable, cloud-native AI web applications
Build responsive, high-performance, maintainable user interfaces
Ensure cross-browser compatibility and optimal user experience
Design and develop secure backend APIs and microservices
Design RESTful APIs with Swagger/OpenAPI documentation
Integrate and manage Kafka pipelines for real-time data streaming and asynchronous communication
Design and implement prompt engineering strategies for Azure OpenAI and other LLM services
Build conversational AI and chat-based applications
Optimize prompts for accuracy, context handling, and token efficiency
Implement RAG patterns for context-aware AI responses
Containerize and orchestrate applications using Docker and Azure Kubernetes Service
Provision and manage infrastructure using Terraform
Implement authentication and authorization using Azure AD and Managed Identities
Design and integrate Azure cloud services
Design and optimize MongoDB data models, indexing strategies, and query performance
Implement and maintain Azure DevOps CI/CD pipelines
Manage source code using Git and standard branching strategies
Ensure automated builds, testing, and deployments
Implement observability using Azure Application Insights and Log Analytics
Ensure code quality, scalability, security, and performance best practices
Conduct code reviews and enforce coding standards
Collaborate with AI engineers, DevOps, UX/UI designers, and Product Managers
Mentor junior developers and contribute to technical decision-making

Requirements

What you’ll need

Proficiency in React with TypeScript, HTML5, CSS3, and Fluent UI React
Experience developing backend APIs and microservices using .NET 8.0 (C#) and Python
Knowledge of RESTful APIs and Swagger/OpenAPI documentation
Experience with Kafka pipelines for real-time data streaming and asynchronous communication
Experience with prompt engineering for Azure OpenAI and other LLM services
Experience building conversational AI and chat-based applications
Knowledge of RAG (Retrieval Augmented Generation) patterns
Experience with Docker and Azure Kubernetes Service (AKS)
Experience provisioning infrastructure with Terraform (IaC)
Knowledge of Azure AD and Managed Identities for authentication and authorization
Experience integrating Azure services, including Azure OpenAI, Azure AI Search, API Management, App Services, Application Gateway, Storage Accounts, Virtual Networks, Key Vault, and Static Web Apps
Experience designing and optimizing MongoDB data models, indexes, and queries
Experience implementing Azure DevOps CI/CD pipelines
Proficiency with Git and standard branching strategies
Experience with Azure Application Insights and Log Analytics
Ability to conduct code reviews and enforce coding standards
Ability to collaborate with AI engineers, DevOps, UX/UI designers, and Product Managers
Ability to mentor junior developers and contribute to technical decision-making