Software Engineer

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 fullstack 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 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 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.

AIAssisted 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

• 58 years of experience in software engineering and Azure-based solution development.
• Strong proficiency in C# .NET Core and Core EF Core Web APIs
• Practical experience with Python for Azure automation integrations or AI-enabled workloads.
• Experience with JavaScript / TypeScript for frontend development and API integrations.
• Solid understanding of cloud-native architecture patterns (microservices event-driven serverless).
• Experience with Azure App Service Azure Functions AKS or Container Apps.
• Strong knowledge of Azure SQL and/or Cosmos DB.
• Experience with Azure Service Bus and asynchronous messaging patterns.
• Understanding of Entra ID (Azure AD) Managed Identities and secure access patterns.
• Hands-on experience with Azure DevOps or GitHub Actions. Working knowledge of IaC (Bicep and/or Terraform). Experience with Docker and container-based deployments. Experience with PowerShell and Azure CLI scripting. Familiarity with monitoring logging and telemetry in Azure.
• Awareness and practical exposure to Azure AI Services / Azure OpenAI.
• Understanding of GenAI concepts (LLMs prompts embeddings RAG).
• Ability to integrate AI capabilities into applications and Python SDKs.
• Willingness and curiosity to learn agentic AI and AI orchestration patterns.
• Experience using Copilot or similar AI tools in day-to-day development
• Strong problem-solving and analytical skills.
• Strong pro-code engineering mindset with attention to quality and scalability.
• Good communication skills with consulting mindset and ability to collaborate in distributed teams.
• Mindset of continuous learning and engineering excellence.

Additional Information :

Beware of scams

Our recruiting team may communicate with candidates via our @ domain email address and/or via our SmartRecruiters (Applicant Tracking System) domain email address regarding your application and interview requests.  

All offers will originate from our @ domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain it may not be legitimate.

Remote Work :

No

Employment Type :

Full-time