Lead .Net Engineer (IRC302026)

Job Description

6+ years of experience in backend microservices architecture, with a specialized focus on modern C# .NET frameworks and cloud ecosystems.

Strong proficiency in C# 12, .NET 8, Kestrel web server, and Python FastAPI microservices.

Deep expertise in relational database design (Azure SQL MI), ORM pattern design, SQL performance optimization, and integration with cloud data warehouses (Snowflake).

Proven experience in designing and securing RESTful APIs, utilizing Azure API Management as an API Gateway, and managing asynchronous event messaging via Azure Service Bus.

Expert-level knowledge of backend unit testing frameworks (xUnit, Pytest) and static code analysis enforcement using SonarQube.

Solid background in cloud security, identity integration (Azure Entra External ID), Azure RBAC, Managed Identities, custom authorization microservices, and secrets management via Azure Key Vault.

Practical experience implementing distributed caching (Azure Cache for Redis), dynamic app configurations, feature flag management, and task scheduling (Azure Logic Apps).

Solid understanding of enterprise integration patterns, headless commerce storage (Shopify), Blob Storage, and microservices observability (Azure App Insights, Log Analytics).

Self-organized personality with strong verbal/written communication skills for leading technical teams and coordinating with cross-functional leads.

Job Responsibilities

Define the end-to-end backend system architecture, API schemas, microservice boundaries, data contracts, and integration workflows.

Develop, configure, and maintain high-throughput C# .NET 8 core microservices and Python FastAPI services for GenAI and search endpoints.

Implement asynchronous messaging structures, event queues via Azure Service Bus, distributed caching strategies using Azure Cache for Redis, and scheduled Logic Apps jobs.

Design and optimize database access models, data schemas in Azure SQL MI, and data sync mechanisms feeding into Snowflake data warehousing.

Work closely with frontend leads, Solution Architects, DevOps engineers, and AI specialists to guarantee seamless data flow and endpoint performance.

Address backend security vulnerabilities, enforcing fine-grained authorization policies, token validation via Azure Entra External ID, and secure Key Vault secret handling.

Apply engineering techniques to optimize database query execution, memory management, low-latency API response rates, and telemetry data processing.

Deliver technical guidance to backend developers, conduct rigorous code reviews, establish testing practices (xUnit, Pytest), and collaborate directly with product and engineering management.

Department/Project Description

Our client is developing an advanced industrial asset intelligence platform engineered to drive digital aftermarket transformation and equipment lifecycle monetization. The system integrates edge hardware telemetry, on-premise production software, cloud data warehouses, and generative AI to deliver a unified real-time asset tracking, service optimization, and aftermarket commerce experience for factory operators, field service engineers, and distributors.

The platform architecture centers on a distributed, cloud-native microservices backend built on C# 12 using .NET 8, Python FastAPI services, Azure SQL Managed Instance, Snowflake data warehousing, Azure Cache for Redis, Azure Service Bus, and Azure API Management.

The engineering initiative focuses on architecting high-performance RESTful APIs, designing secure data persistence layers, establishing event-driven messaging pipelines, integrating Azure OpenAI diagnostic APIs, managing custom authorization services, and orchestrating backend services with third-party platforms such as Shopify and SAP.