Job Title: Solution Architect (.NET)
Experience: 10–18 years
Role Overview
Solution Architect to design and deliver scalable, secure, and intelligent enterprise platforms leveraging .NET, Angular, Microservices, Cloud, Messaging systems, and AI capabilities. The role demands strong expertise in distributed systems, real-time communication, and data-driven architectures, along with the ability to embed AI into business workflows.
Key Responsibilities
- Define end-to-end architecture using .NET, Angular, Microservices, and Cloud-native patterns.
- Design API-first, event-driven, and real-time architectures.
- Architect and implement messaging and streaming solutions using RabbitMQ, MQTT, or similar technologies.
- Design scalable data architecture including transactional, analytical, and real-time data processing.
- Integrate AI/ML and AI capabilities into applications ( automation, insights).
- Lead modernization initiatives (monolith → microservices → cloud-native).
- Establish DevOps practices for application.
- Ensure high availability, scalability, performance tuning, and resilience.
- Define and enforce architecture standards, security, and governance.
- Provide technical leadership and mentor teams.
Required Skills & Experience
- Strong expertise in .NET Core , C#, ASP.NET Web API, Angular.
- Hands-on experience with Angular (v8+) or modern frontend frameworks.
- Deep experience in Microservices and distributed systems architecture.
- Strong understanding of REST APIs, API Gateway, OAuth2, JWT security.
- Experience with cloud platforms (Azure preferred / AWS):
- App Services, Kubernetes (AKS/EKS), Serverless
- Strong DevOps expertise:
- CI/CD (Azure DevOps, GitHub Actions, Jenkins)
- Experience with Docker and Kubernetes.
Database & Data Architecture
- Strong experience in relational databases (SQL Server, PostgreSQL).
Messaging & Real-Time Systems
- Hands-on experience with:
- RabbitMQ (message queues, pub-sub patterns)
- MQTT (IoT messaging, lightweight communication)
- Strong understanding of:
- Event-driven architecture
- Message durability, retries, and fault tolerance
- Asynchronous communication patterns
- Experience with streaming/event platforms (Kafka, Azure Event Hub) is a plus.
AI / Data & Analytics Skills
- Experience integrating AI/ML solutions into enterprise applications.
- Familiarity with Generative AI concepts:
- Prompt engineering
- Retrieval-Augmented Generation (RAG)
- Vector databases
- Experience with:
- Azure OpenAI / OpenAI APIs / AWS Bedrock
- Cognitive Services / AI APIs
Qualifications
- BTECH in computer science or related field.
- Experience in large-scale enterprise or digital transformation programs.