Dot Net Developer Lead

The Backend Developer will design, develop, test, deploy, and support enterprise-grade backend services and APIs. This role will primarily focus on building scalable microservices, RESTful APIs, and data-driven applications using C#, .NET, SQL, and AWS.
The developer will work closely with architecture, product, data engineering, application engineering, and governance teams to deliver secure, reliable, and maintainable backend solutions that integrate with enterprise platforms and business workflows.
This is a hands-on engineering role requiring strong backend development fundamentals, independent execution, clean coding practices, and the ability to build production-ready services. Foundational knowledge of LLMs and AI-enabled integrations is expected as a value-add skill to support emerging enterprise AI use cases.

Key Responsibilities

• Design, develop, test, and deploy scalable backend services and microservices using C# and .NET Core / .NET.
• Build and maintain secure, well-documented RESTful APIs for internal and external enterprise applications.
• Develop backend components that integrate with SQL databases, enterprise systems, third-party services, and cloud-native platforms.
• Design and optimize database schemas, stored procedures, queries, and data access layers to ensure performance, reliability, and data integrity.
• Implement microservices-based architecture patterns, including service-to-service communication, API gateways, resiliency, logging, and monitoring.
• Deploy and support backend applications on AWS using cloud-native services, containerized workloads, serverless components, or managed infrastructure.
• Collaborate with architects, product owners, data engineers, and application teams to understand requirements and deliver reliable backend solutions.
• Implement secure coding practices, authentication, authorization, secrets management, audit logging, and role-based access controls.
• Participate in code reviews, technical design discussions, troubleshooting, production support, and performance tuning activities.
• Build reusable backend components, API libraries, integration services, and common utilities to improve development efficiency.
• Support CI/CD pipelines, automated testing, deployment automation, and environment configuration.
• Integrate backend services with LLM-enabled capabilities where required, such as connecting APIs to AI services, RAG pipelines, vector databases, or LLM endpoints.
• Create and maintain technical documentation covering architecture, APIs, data flows, deployment steps, dependencies, and operational procedures.