> Markdown version of [/jobs/ext/4163641-senior-net-developer](https://www.wearedevelopers.com/jobs/ext/4163641-senior-net-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior .NET Developer - **Company:** Federal Support Specialists, LLC - **Location:** Pikesville, MD, United States - **Experience:** Expert - **Salary:** $190,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** AI Evaluation, ASP.NET, JavaScript (Programming Language), .NET Framework, Multitier Architecture, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Application Performance Management, Microsoft Azure, C Sharp (Programming Language), Cloud Engineering, Software Quality, Continuous Integration, Data Security, Fault Tolerance, Python (Programming Language), Metadata, Metadata Standards, Microsoft SQL Server, Windows PowerShell, Software Product Management, OpenAI, AI-enabled Products, Service Design, Software Engineering, SQL Databases, YAML, Data Logging, Retrieval-Augmented Generation, Large Language Models, Generative AI, Core Api, Backend, Event Driven Architecture, Information Technology, Amazon Bedrock, Low Latency, Graphql, Machine Learning Operations, Api Gateway, Dynatrace, Api Management, Serverless Computing, Key Vault, Microservices - **Published:** October 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=2be751a2e1d4a1c2 ## About the Role * Professional software engineering experience as a senior or lead engineer on Azure backend platforms. * Strong C# / .NET, including .NET 6/8+ and ASP.NET Core. * Hands-on Azure: Functions, Durable Functions, Service Bus, Event Grid, Blob Storage, Table Storage, API Management, App Services, Key Vault, and App Configuration. * Proven event-driven and distributed-systems design (orchestration, pub/sub, idempotency, failure handling). * Experience optimizing architecture for AI products in production: integrating LLMs or Azure OpenAI, designing tool/API access for models, and addressing cost, latency, reliability, and security of model use. * REST and GraphQL integration experience; comfort with API gateways. * SQL Server and data access via EF Core or equivalent. * Observability in production (Application Insights or similar), including visibility into downstream AI calls when those are part of the service path. * Azure DevOps (or equivalent) with YAML CI/CD. * Ability to lead technical decisions and work directly with product and business stakeholders., * Azure OpenAI, Amazon Bedrock, or equivalent LLM platforms used behind APIM or other governed gateways. * MCP servers, tool-calling, function-calling, or agent-orchestration patterns in production or serious pilot systems. * Retrieval-augmented generation (RAG): document ingestion, chunking, embeddings, vector or hybrid search, grounding and citation. * AI evaluation, red-teaming, or quality gates (offline eval sets, online traces, hallucination / tool-failure handling). * SCTE-224 or other broadcast / media metadata standards. * Clean Architecture, DDD, or behavior-driven design in production services. * Python, JavaScript, or PowerShell for automation, evaluation harnesses, and integration. * AWS (EC2, Lambda) in addition to Azure. * Multi-tenant or large-scale enterprise backends. * B.S. in Computer Science or equivalent experience. Core skills C#, .NET 8+, ASP.NET Core, EF Core, SQL, Azure Functions / Durable Functions, Service Bus, Event Grid, APIM, Blob/Table Storage, Key Vault, Application Insights, Azure DevOps YAML pipelines, REST, GraphQL, Azure OpenAI / LLM integration, MCP and tool-calling interfaces, RAG / retrieval pipelines, event-driven architecture, microservices, AI cost and latency optimization. Pay: $190,000.00 - $220,000.00 per year Application Question(s): * Are you willing to obtain a Public Trust Clearance? * Do you have AI Development experience? ## Description * Lead design and implementation of cloud-native, event-driven platforms that integrate many independent systems into a unified operational ecosystem. * Architect Azure Durable Functions workflows using Service Bus and Event Grid to orchestrate and process high daily event volumes with reliability, retries, and recovery. * Build C# / .NET backend services that generate and distribute structured metadata and events to downstream consumers under tight availability SLAs, including near-real-time propagation targets. * Design scalable, fault-tolerant microservice-style components that can be extended without rewriting the platform. * Integrate internal and third-party systems through REST and GraphQL; use Azure API Management as the gateway. * Design and implement AI product architecture on Azure: model-serving and inference paths, retrieval / grounding pipelines, prompt-and-tool orchestration, and secure service interfaces for LLM interaction. * Build MCP-style and function-calling interfaces so agents and LLMs can invoke platform APIs safely (auth, scoped tools, timeouts, audit). * Optimize AI workloads for production: token and compute cost, latency budgets, rate limits, caching, fallback models, and evaluation / tracing of model calls. * Implement durable storage with Blob Storage and Table Storage for event-driven exchange, recovery, embeddings or document corpora, and audit of AI and integration traffic. * Establish observability across application and AI paths: structured logging, distributed tracing, prompt/tool telemetry where appropriate, and alerting in Application Insights. * Influence architecture, raise code quality, and mentor engineers on backend and AI-integration patterns. * Translate stakeholder requirements into production-ready designs and incremental delivery.