Full Stack .NET / Cloud & AI Engineer

Raas Infotek LLC

Washington, DC, United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

ASP.NET JavaScript (Programming Language) .NET Framework Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Application Performance Management Application Services ASP.NET MVC Framework HTML5

+78 more

Automation of Tests Microsoft Azure Bootstrap (Software) C Sharp (Programming Language) Cascading Style Sheets (CSS) Cloud Engineering Code Review Databases Continuous Integration Dependency Injection Amazon DynamoDB Github Apache JMeter PostgreSQL Log Analysis Microsoft SQL Server SQL Azure MongoDB OAuth Oracle (Applications) Scrum Methodology Systems Development Life Cycle Query Optimization RabbitMQ Role-Based Access Control Openid Connect Azure Active Directory Cloud Services Mstest Kusto Query Language Azure Machine Learning JSON Web Token Search Technologies Service-Oriented Architecture Simple Object Access Protocol (SOAP) Software Engineering SQL Stored Procedures SQL Databases Systems Integration Transact-SQL TypeScript YAML Azure Service Bus Enterprise Software Applications Chatbots .NET Core Cloud Monitoring ReactJS Database Performance Generative AI Indexer Xunit Moq Event Driven Architecture Amazon Relational Database Service AngularJS Integration Tests Solid Principles Kubernetes Bicep Apache Kafka Cosmos DB Azure AKS Graphql Front End Software Development Virtual Agents Functional Programming Cloudwatch Api Gateway Restful APIs Amazon Simple Queue Service (SQS) Terraform Serverless Computing Azure Resource Manager Docker Key Vault Web Api Microservices

Job description

We are seeking a highly experienced Senior Full Stack .NET Engineer with strong expertise in C#, .NET Core/.NET 8, ASP.NET Core, Web API, React/Angular, Azure, AWS, microservices, and cloud-native application development. The ideal candidate will have experience designing scalable enterprise applications, REST/GraphQL APIs, event-driven architectures, CI/CD pipelines, and modern Generative AI/Agentic AI solutions., * Design, develop and maintain scalable enterprise applications using C#/.NET and Azure/AWS.

Develop secure REST and GraphQL APIs and cloud-native microservices.
Build responsive frontend applications using React/Angular.
Design event-driven solutions using Azure Service Bus, Event Grid, Event Hub, RabbitMQ and Kafka.
Develop and integrate GenAI/Agentic AI capabilities into enterprise applications.
Design RAG pipelines, AI agents, semantic search and document intelligence solutions.
Build and maintain CI/CD pipelines using Azure DevOps and GitHub Actions.
Implement infrastructure using Terraform, Bicep and ARM templates.
Optimize SQL queries, stored procedures and database performance.
Implement enterprise security using Entra ID, OAuth2, JWT, RBAC and Managed Identity.
Monitor production applications using Azure Monitor, Application Insights, Log Analytics and KQL.
Lead technical design, code reviews, troubleshooting and production support.
Mentor junior engineers and provide technical leadership within Agile/Scrum teams.

Requirements

10+ years of experience in software development and full SDLC.
Strong hands-on experience with C#, .NET Core, .NET 8, ASP.NET Core, ASP.NET MVC, Web API.
Strong experience developing RESTful APIs, GraphQL, SOAP and enterprise integrations.
Experience with microservices, SOA, event-driven architecture, Repository Pattern, Dependency Injection and SOLID principles.
Strong frontend experience with React.js, Angular, TypeScript, JavaScript, HTML5, CSS3 and Bootstrap.
Experience with Azure including Azure App Services, AKS, Azure Functions, Service Fabric, Service Bus, Event Grid, Event Hub, Azure Storage, Cosmos DB, Key Vault and Azure AI services.
Experience with AWS including EC2, S3, Lambda, RDS, DynamoDB, SQS, API Gateway, CloudWatch, Bedrock and Glue.
Strong database experience with SQL Server, Azure SQL, PostgreSQL, Oracle, MongoDB and Cosmos DB.
Experience with SQL, T-SQL, stored procedures, triggers, indexing and query optimization.
Strong experience with Azure DevOps, GitHub Actions, YAML, Terraform, Bicep and ARM templates.
Experience with Docker, Kubernetes/AKS and cloud deployments.
Strong understanding of OAuth2, OpenID Connect, JWT, RBAC, Microsoft Entra ID/Azure AD, Managed Identity and Key Vault.
Experience with automated testing using xUnit, MSTest, Moq, integration testing and JMeter.

< dir=”auto” data-start=”2444” data-end=”2466”>AI / GenAI Skills

Hands-on experience developing Generative AI and Agentic AI applications.
Experience with Azure OpenAI / GPT-4o, LangChain, LangGraph and Semantic Kernel.
Strong knowledge of RAG architecture, embeddings, vector databases and semantic search.
Experience with Azure AI Search, FAISS and Pinecone.
Experience building AI-powered chatbots and document-processing solutions.
Hands-on experience with Model Context Protocol (MCP) and integrating MCP servers with AI agents, APIs and enterprise data sources.