SENIOR .
NET AZURE ENGINEER Cloud-Native Architecture | Microservices | AI Integration (Good to Have)

Location:
Gurugram (Work from Office / Hybrid) Experience Band: 5 to 10 Years Notice Period: Immediate Joiners / November 2026 Joiners Only Role Type: Full time ROLE OVERVIEW We are seeking a high-impact Senior .
NET Azure Engineer to architect, build, and scale enterprise-grade cloud-native applications. You will take end-to-end ownership of distributed microservices, high-throughput APIs, and Azure cloud infrastructure. Candidates with hands-on exposure to integrating Generative AI and Azure AI services into .
NET ecosystems will have a distinct edge.

KEY RESPONSIBILITIES

- Backend Architecture & Development: Design, develop, and optimize resilient, low-latency RESTful APIs and microservices using .
NET Core / .
NET 6/7/8+ and C#.
- Cloud-Native Engineering (Azure): Architect, deploy, and manage scalable workloads across Microsoft Azure (App Services, Azure Functions, AKS, Service Bus, Event Grid, API Management, and Key Vault).
- Data & Performance Optimization: Design efficient relational and NoSQL schemas (Azure SQL, Cosmos DB, PostgreSQL), optimizing complex queries, indexing, and caching strategies (Redis) for high concurrency.
- DevOps & Security: Build and maintain automated CI/CD pipelines via Azure DevOps or GitHub Actions, implementing Infrastructure-as-Code (Terraform / Bicep) and enforcing zero-trust security standards (OAuth2, OIDC, Managed Identities).
- AI Enablement (Good to Have): Integrate LLM workflows, RAG pipelines, or intelligent automation into core .
NET applications using Azure OpenAI Service, Azure AI Search, Semantic Kernel, or Azure AI Foundry.
- Technical Leadership:



Lead code reviews, establish architectural best practices, troubleshoot production bottlenecks, and mentor mid-level engineers. MUST-HAVE TECHNICAL SKILLS
- Core .
NET Mastery: 510 years of hands-on software engineering experience with deep proficiency in C#, .
NET Core (.
NET 6/8), ASP.
NET Web API, and Entity Framework Core.
- Microsoft Azure Ecosystem: Proven production experience designing and deploying cloud-native solutions on Microsoft Azure (Compute, Serverless, Messaging, Storage, and Networking).
- Distributed Systems: Strong command of microservices architecture, event-driven design patterns, asynchronous programming, and SOLID principles.
- Database Engineering: Solid experience across SQL Server / Azure SQL and at least one NoSQL store (Cosmos DB / MongoDB).
- Containers & CI/CD: Hands-on proficiency with Docker, Kubernetes (AKS), and automated CI/CD pipelines (Azure DevOps). GOOD-TO-HAVE SKILLS (STRONG ADVANTAGE)
- AI & LLM Integration: Practical experience integrating Azure OpenAI, Semantic Kernel, LangChain, or Azure AI Cognitive Services into enterprise backends.
- RAG & Vector Search: Exposure to vector databases, embeddings, or Retrieval-Augmented Generation (RAG) architectures.
- IaC & Observability: Infrastructure-as-Code (Terraform or ARM/Bicep) and monitoring/observability tools (Application Insights, Grafana, Prometheus).
- Certifications: Relevant Microsoft certifications (AZ-204, AZ-400, AZ-305, or AI-102). CANDIDATE ELIGIBILITY
-

Location:
Must be based in Gurugram or willing to relocate immediately.
- Availability: Immediate joiners or candidates currently serving notice period (joining within November 2026) will be prioritized.

📌 .NET Azure Engineer_AI (Gurugram)
🏢 Crescendo Global Leadership Hiring India
📍 Gurugram