
Apply advanced knowledge of software engineering principles, including object-oriented design, domain driven design, and distributed systems architecture, to design and deliver scalable, resilient, and maintainable applications. Design and implement cloud native solutions using Microsoft Azure, including App Services, Functions, Service Bus, Event Grid, and containerized workloads, ensuring high availability and fault tolerance. Ensure applications satisfy both functional and non-functional requirements, including performance, scalability, security, and reliability, through rigorous testing strategies, code reviews, and adherence to defined quality standards. Write high quality, performant, and secure code in C# and .NET, conforming to established architectural patterns, secure coding practices, and enterprise engineering standards. Lead the design and development of RESTful APIs, microservices, and event driven architectures, ensuring proper versioning, backward compatibility, and contract integrity. Develop and increase relational and non-relational data models using SQL Server and other data platforms, ensuring data integrity, performance efficiency, and scalability. Guide CI/CD implementation using Azure DevOps or equivalent tooling, including automated builds, testing pipelines, infrastructure as code, and deployment strategies. Mentor and coach engineers on architectural patterns, coding standards, testing strategies, and engineering best practices, thereby elevating overall team capability and code quality. Conduct thorough code reviews with a focus on maintainability, performance, security, and understanding of architectural standards. Ensure compliance with security standards, regulatory requirements, and internal governance policies, in handling sensitive or regulated data. You will report to an Engineering Manager
Bachelor's in computers or Master's preferred You need to have 7+ years of professional .NET development and architectural experience You need to have 2+ years of Azure cloud experience Experience with C#, .NET Framework, .NET Core Experience with MS SQL Server, T-SQL, Relational Database Design Experience with Frontend technologies (HTML, CSS, JavaScript, Angular, ReactJS) Experience with Azure Cloud Solutions (IaaS, SaaS, PaaS) Experience with Azure Entra, App Services, Azure Functions, APIM, Azure SQL. Experience with agentic AI tools (GitHub Copilot, Cursor, Claude) and spec-driven agentic development. Experience with API development and integrations. Experience with SSIS, ETL, Azure Data Factory Experience of common Architectural Patterns and Cloud Native development Experience with Azure DevOps CI/CD pipelines Experience with Microservices Architecture, Docker, Containers Experience with Entity Framework or other ORM Hands-on experience with an AI-Driven Development Lifecycle (AI-DLC): writing specs and acceptance criteria that agents can execute against, maintaining agent context and instruction files, and reviewing and validating AI-generated code to team standards. Experience building GenAI features in .NET using Azure OpenAI or Azure AI Foundry, including prompt engineering, RAG with Azure AI Search, and Semantic Kernel or similar orchestration. Experience using AI assistants for test generation, code review, refactoring and documentation, with judgement on when AI output needs human verification. Familiarity with MCP servers and tool integrations that let agents work with internal APIs, databases, and pipelines.
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