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 engineering and Azure-based solution development.
- Strong proficiency in C#, .NET Core, and ASP.NET 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 using .NET 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.
Beware of scams
Our recruiting team may communicate with candidates via our @hitachisolutions.com domain email address and/or via our SmartRecruiters (Applicant Tracking System) [email protected] domain email address regarding your application and interview requests.
All offers will originate from our @hitachisolutions.com 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.