KEY RESPONSIBILITIES :

Full Stack Engineering :

- Architect and develop end-to-end applications using .NET 8 (C#), Angular 17+, and SQL Server, following SOLID principles and clean architecture patterns.

- Build responsive, accessible front-end experiences with Angular leveraging RxJS, NgRx state management, and standalone component patterns.

- Design and expose high-performance RESTful and GraphQL APIs; enforce OpenAPI contracts and versioning strategies.

- Ensure application security through OAuth 2.0 / OIDC, role-based access control, and Azure AD B2C integration.

Azure Cloud & DevOps :

- Design and operate cloud-native solutions using Azure App Service, Azure Functions (serverless), Azure Kubernetes Service (AKS), Service Bus, Event Grid, and Azure Storage.

- Build and maintain Azure Data Factory (ADF) pipelines for complex ETL/ELT workflows, data integration, and orchestration across heterogeneous sources.

- Implement Infrastructure-as-Code (IaC) using Bicep or Terraform; manage environments through Azure DevOps CI/CD pipelines.

- Monitor application health using Azure Application Insights, Log Analytics, and Azure Monitor proactively tuning for performance and cost.

- 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.

- Develop AI-augmented workflows including Retrieval-Augmented Generation (RAG) pipelines, copilot patterns, and prompt engineering using LangChain or Semantic Kernel.

- Apply responsible AI practices : evaluate model outputs, mitigate bias, and ensure compliance with organizational AI governance policies.

Data Engineering & Integration :

- Write optimized T-SQL queries, stored procedures, and database schemas in SQL Server; apply indexing strategies and query plan analysis.

- Design data integration architectures connecting ERP, CRM, and third-party platforms via APIs, messaging (Service Bus / Event Hub), and ADF.

- Support analytics delivery by preparing clean, reliable data layers for Power BI or Azure Synapse Analytics consumption.

Quality, Collaboration & Leadership :

- Lead code reviews, define coding standards, and mentor junior developers to raise team-wide engineering quality.

- Champion test-driven development (TDD) - write unit, integration, and end-to-end tests.

- Engage proactively in agile ceremonies (sprint planning, retrospectives, backlog refinement) and maintain transparent stakeholder communication.

- Continuously evaluate emerging technologies and propose pragmatic improvements to architecture, tooling, and developer experience.

QUALIFICATIONS & EXPERIENCE :

Required :

- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

- 7-12 years of professional software development experience, with deep focus on .NET (C#) and Angular.

- Strong command of .NET 8 features : minimal APIs, dependency injection, async/await patterns, and middleware pipelines.

- Angular expertise : component architecture, reactive forms, HTTP interceptors, lazy loading, and performance optimization techniques.

- Proven Azure cloud experience across App Service, Functions, AKS, Service Bus, Azure SQL, Cosmos DB, and Azure Storage.

- Hands-on ADF / ETL experience : pipeline design, triggers, linked services, data flows, and monitoring.

- Hands-on experience with Azure OpenAI Service, Azure AI Search, or Cognitive Services; working knowledge of prompt engineering and RAG architectures.

- Familiarity with Semantic Kernel, LangChain, or similar AI orchestration frameworks.

- Solid SQL Server skills : schema design, stored procedures, query optimization, and database migrations (EF Core).

- Proficiency with Azure DevOps : Git branching strategies, YAML pipelines, artifact management, and release gates.

Preferred :

- Experience designing and operating microservices or event-driven architectures at scale.

- Knowledge of domain-driven design (DDD) and CQRS / Event Sourcing patterns.

- Exposure to Azure Synapse Analytics, Databricks, or Power BI for analytics integration.

- Relevant Microsoft certifications (e.g., AZ-204, AZ-305, AI-102) are a strong plus.