Software Engineer at Hitachi Solutions in Pune

Job description

Azure Solution Engineer Overview The Azure Solution Engineer is responsible for designing, building, testing, deploying, and supporting end-to-end solutions on the Microsoft Azure platform. This role goes beyond traditional .NET full‑stack development and focuses on building AI-first, cloud-enabled, and automation-driven solutions using a mix of Pro-code (C#, Python, JavaScript/TypeScript and Azure scripting), DevOps, and Azure AI capabilities across the Azure ecosystem . The engineer will work closely with the Technical Architect and cross-functional teams to deliver scalable, secure, and maintainable Azure solutions. The role requires a strong foundation in Azure solution engineering and the ability to leverage AI, Generative AI, Copilot, and Azure AI Foundry as development accelerators. Key Responsibilities Core Azure Solution Development Design and develop Azure-based solutions using C#, .NET Core, ASP.NET Core, EF Core, REST APIs , and modern front-end frameworks ( Angular / React ) where applicable. Develop supporting services, tools, and components using Python where it is a natural fit in the Azure ecosystem (e.g., AI integration, automation, background processing). Build cloud-native applications using Azure App Service, Azure Functions, Azure Container Apps, and/or AKS , based on solution needs. Implement data solutions using Azure SQL, Cosmos DB, Blob Storage, and Table Storage , with attention to scalability and performance. Integrate solutions using Azure Service Bus, Event Grid, and Event Hubs for asynchronous and event-driven architectures. Apply Azure Well-Architected Framework principles covering reliability, security, performance, cost, and operational excellence. Pro-Code Engineering & Azure Integrations Design and implement custom Azure services, APIs, microservices, and background workers using pro-code approaches. Write automation and integration scripts using Python, PowerShell, and Azure CLI for environment setup, deployments, and operational tasks. Develop and maintain Infrastructure as Code using Bicep and/or Terraform . Integrate enterprise systems using REST APIs, external SaaS APIs, SDKs, and Azure-native integration services. Apply appropriate architectural patterns such as microservices, event-driven, serverless, and container-based architectures , based on solution requirements. Ensure code quality, maintainability, and extensibility through engineering best practices. DevOps & Engineering Excellence Implement and maintain CI/CD pipelines using Azure DevOps or GitHub Actions . Apply containerization using Docker and manage deployments across environments. Use scripting and configuration-as-code approaches to standardize environments and reduce manual effort. Implement monitoring, logging, and observability using Application Insights, Log Analytics , OpenTelemetry , and structured logging. Write unit tests, integration tests, and component tests to ensure solution quality and reliability. AI Solution Development Build AI-enabled solutions using Azure AI Services, Azure OpenAI, and Azure AI Foundry capabilities. Implement GenAI use cases such as Copilot , chat-based assistants, document processing, summarization, and knowledge search. Use Python and .NET SDKs to integrate AI models and services into applications. Understand and apply prompt engineering, embeddings, vector search, and RAG patterns at a foundational level. Contribute to Agentic AI solutions, orchestrating workflows using tools, APIs, and AI models. Apply Responsible AI , security, and data privacy principles in AI solutions. AI‑Assisted Development Use GitHub Copilot , Azure Copilot , and AI-assisted tools to improve developer productivity and code quality. Leverage AI for code generation, refactoring, test creation, documentation , scripting, and troubleshooting. Continuously evaluate emerging AI capabilities and adopt them pragmatically within delivery teams. Required Skills & Experience 4 years of experience in software engineeri