Azure | .Net | AI Developer 09992

Azure | .Net | AI Developer

.NET  ·  Angular  ·  Azure  ·  AI/ML Integration

ABOUT THE ROLE

We are seeking an accomplished Full Stack Developer who combines deep expertise in the Microsoft technology ecosystem with a forward-looking perspective on AI/ML integration. You will architect and deliver intelligent, cloud-native applications that leverage .NET 8, Angular, Azure, and emerging AI capabilities — helping us build the next generation of Tax, Audit, and Finance solutions.

This is a high-impact, collaborative role where you will work alongside cloud architects, data engineers, and product owners to translate complex business requirements into elegant, scalable software. If you are passionate about blending modern cloud engineering with practical AI innovation, we want to hear from you.

KEY RESPONSIBILITIES

Full Stack Engineering

1. Architect and develop end-to-end applications using .NET 8 (C#), Angular 17+, and SQL Server, following SOLID principles and clean architecture patterns.
2. Build responsive, accessible front-end experiences with Angular — leveraging RxJS, NgRx state management, and standalone component patterns.
3. Design and expose high-performance RESTful and GraphQL APIs; enforce OpenAPI contracts and versioning strategies.
4. Ensure application security through OAuth 2.0 / OIDC, role-based access control, and Azure AD B2C integration.

Azure Cloud & DevOps

1. Design and operate cloud-native solutions using Azure App Service, Azure Functions (serverless), Azure Kubernetes Service (AKS), Service Bus, Event Grid, and Azure Storage.
2. Build and maintain Azure Data Factory (ADF) pipelines for complex ETL/ELT workflows, data integration, and orchestration across heterogeneous sources.
3. Implement Infrastructure-as-Code (IaC) using Bicep or Terraform; manage environments through Azure DevOps CI/CD pipelines.
4. Monitor application health using Azure Application Insights, Log Analytics, and Azure Monitor — proactively tuning for performance and cost.

AI / ML Integration

1. Integrate Azure OpenAI Service and Azure AI Services (Cognitive Services, Document Intelligence, AI Search) to deliver intelligent features such as document analysis, natural language querying, and predictive insights.
2. Develop AI-augmented workflows — including Retrieval-Augmented Generation (RAG) pipelines, copilot patterns, and prompt engineering — using LangChain or Semantic Kernel.
3. Apply responsible AI practices: evaluate model outputs, mitigate bias, and ensure compliance with organizational AI governance policies.

Data Engineering & Integration

1. Write optimized T-SQL queries, stored procedures, and database schemas in SQL Server; apply indexing strategies and query plan analysis.
2. Design data integration architectures connecting ERP, CRM, and third-party platforms via APIs, messaging (Service Bus / Event Hub), and ADF.
3. Support analytics delivery by preparing clean, reliable data layers for Power BI or Azure Synapse Analytics consumption.

Quality, Collaboration & Leadership

1. Lead code reviews, define coding standards, and mentor junior developers to raise team-wide engineering quality.
2. Champion test-driven development (TDD) – write unit, integration, and end-to-end tests.
3. Engage proactively in agile ceremonies (sprint planning, retrospectives, backlog refinement) and maintain transparent stakeholder communication.
4. Continuously evaluate emerging technologies and propose pragmatic improvements to architecture, tooling, and developer experience.

QUALIFICATIONS & EXPERIENCE

Required

1. Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
2. 7–12 years of professional software development experience, with deep focus on .NET (C#) and Angular.
3. Strong command of .NET 8 features: minimal APIs, dependency injection, async/await patterns, and middleware pipelines.
4. Angular expertise: component architecture, reactive forms, HTTP interceptors, lazy loading, and performance optimization techniques.
5. Proven Azure cloud experience across App Service, Functions, AKS, Service Bus, Azure SQL, Cosmos DB, and Azure Storage.
6. Hands-on ADF / ETL experience: pipeline design, triggers, linked services, data flows, and monitoring.
7. Hands-on experience with Azure OpenAI Service, Azure AI Search, or Cognitive Services; working knowledge of prompt engineering and RAG architectures.
8. Familiarity with Semantic Kernel, LangChain, or similar AI orchestration frameworks.
9. Solid SQL Server skills: schema design, stored procedures, query optimization, and database migrations (EF Core).
10. Proficiency with Azure DevOps: Git branching strategies, YAML pipelines, artifact management, and release gates.

Preferred

1. Experience designing and operating microservices or event-driven architectures at scale.
2. Knowledge of domain-driven design (DDD) and CQRS / Event Sourcing patterns.
3. Exposure to Azure Synapse Analytics, Databricks, or Power BI for analytics integration.
4. Relevant Microsoft certifications (e.g., AZ-204, AZ-305, AI-102) are a strong plus.