Dotnet Architect

Application Architect (.NET + Multi-Cloud: AWS & Azure)

We are seeking a highly skilled, forward-thinking Application Architect with a deep background in the .NET ecosystem, proven expertise in designing multi-cloud topologies (AWS and Azure), and a strong proficiency in integrating Artificial Intelligence (AI) workflows into enterprise applications. In this senior position, you will bridge the gap between complex business requirements and modern, scalable cloud technology

Shift: 2 -11 PM

Role Overview

Beyond traditional architecture, you will champion the adoption of Generative AI capabilities, optimize developer productivity using AI-assisted tools like GitHub Copilot, drive monolithic-to-microservices migrations, and instill absolute best practices across our engineering teams.

Key Responsibilities Architecture & System Design:

Enterprise Blueprinting: Architect end-to-end, highly available, fault-tolerant enterprise applications leveraging .NET Core / .NET 8+ deployed into hybrid, multi-cloud structures (AWS and Azure).

Modernization: Lead strategic initiatives to decompose legacy .NET monolithic architectures into containerized, cloud-native microservices and event-driven topologies.

Pattern Implementation: Mandate and implement Domain-Driven Design (DDD), SOLID principles, CQRS, and asynchronous event-driven design patterns. AI Integration & Developer Productivity

AI Architecture: Design and integrate AI/ML capabilities into microservice ecosystems, utilizing cloud-native AI services (e.g., Azure OpenAI, AWS Bedrock) safely while ensuring strict data privacy and model governance.

GenAI & Orchestration: Architect solutions utilizing LLMs, Retrieval-Augmented Generation (RAG), and agentic automation using frameworks compatible with .NET (e.g., Microsoft Semantic Kernel, LangChain).

AI-Driven Development Advocacy:Champion the use of AI-assisted engineering tools. Define governance, prompt engineering standards, and best practices for leveraging GitHub Copilot to accelerate the team's software development lifecycle (SDLC) while ensuring code quality and compliance.

Multi-Cloud & DevOps Engineering

Cloud Strategy: Design solutions optimized for both AWS and Azure, advising the business on cost-efficiency, platform trade-offs, and portability

Managed Services Mastery:

Architect utilizing cloud-native offerings across both ecosystems:

AWS Stack: EC2, ECS/EKS, Lambda (Serverless), S3, API Gateway, DynamoDB, RDS.

Azure Stack: AKS, Azure Functions, App Services, Azure SQL, CosmosDB, Service Bus.

Infrastructure as Code (IaC): Establish declarative environments using Terraform or CloudFormation / Azure Bicep to support automated blue/green or canary deployment structures. Technical Leadership & Governance

Mentorship & Quality: Conduct strict code and architecture reviews, acting as a direct mentor to senior and staff engineers to elevate the overall technical capacity of the group.

Documentation & Standards: Author pristine Low-Level Designs (LLD) and High-Level Designs (HLD), defining explicit technical templates for standardizing cross-team execution.

Required Technical Qualifications

• Experience: 8+ years of professional experience in software engineering, with a minimum of 3+ years acting as a dedicated Technical/Application Architect in enterprise environments.
• Core .NET Tech Stack: Advanced expertise in C#, .NET Core/.NET 8+, ASP.NET Core Web API, Entity Framework Core, gRPC, and RESTful API management.
• Cloud Computing: Hands-on architecture experience in both AWS and Azure. Broad understanding of when to use computing vs. serverless vs. managed container services on both hyperscalers.
• AI Skills: Proven experience implementing Generative AI features, consuming LLM APIs, and utilizing vector databases (e.g., Pinecone, Qdrant, Azure Cosmos DB vector search).
• Containers & Orchestration: Deep expertise in Docker, Kubernetes (EKS and AKS), and service mesh concepts. Preferred Qualifications & Certifications
• AI-Assisted Tools: Practical experience using GitHub Copilot (or Copilot Chat) to write code, generate tests, and refactor applications. Experience configuring Copilot at an enterprise level is a massive plus.
• Hyperscaler Certifications: AWS Certified Solutions Architect – Professional and/or Microsoft Certified: Azure Solutions Architect Expert.
• AI Certifications: Microsoft Certified: Azure AI Engineer Associate or equivalent AWS AI certifications.

Core Competencies & Workplace Skills

• Strategic Communicator: Outstanding capability to abstract deep technical concepts (including complex AI and cloud structures) for executive audiences while interacting fluidly with technical engineers.
• Blocker Remediation: Proactive problem solver who surfaces architectural bottlenecks early, alongside pragmatic remediation vectors.
• Autonomous Execution: Deeply trusted partner who functions cleanly with minimal oversight, asserting authority to hold external integration partners accountable.