Description

What You'll Do:

• We are looking for a Principal Engineer with deep expertise in .NET and Azure to provide technical leadership and architectural direction for large-scale, cloud-based SaaS platforms.
• This is a hands-on senior-most technical role?not people management?focused on system design, complex problem solving, code quality, and engineering excellence.
• A critical expectation is strong, real-world use of AI tools, particularly Claude, as part of day-to-day engineering and architecture workflows.
• Architecture & Technical Direction
• Own and evolve the architecture of complex .NET-based systems across services, data, and integrations
• Lead architecture and design reviews, setting engineering standards and best practices
• Make high-impact technical decisions balancing scalability, security, performance, and maintainability
• Drive modernization of legacy applications to cloud-native Azure architectures
• Hands-on Engineering
• Design and develop critical components using C#, .NET Core, REST APIs, and Azure services
• Lead complex refactoring, performance tuning, and reliability improvements
   

Expertise You'll Bring:

• Hands-on Engineering
• Design and develop critical components using C#, .NET Core, REST APIs, and Azure services
• Lead complex refactoring, performance tuning, and reliability improvements
• Azure & Cloud Engineering
• Design solutions using Azure App Services, Azure Functions, Azure SQL, Storage, Key Vault, Service Bus, App Insights
• Influence cloud architecture patterns, observability, resiliency, and cost optimization
• Partner with DevOps on deployment strategies, CI/CD pipelines, and operational readiness
• AI-Assisted Engineering (Key Expectation)
• Use Claude as a primary engineering assistant for:
• Architecture and design exploration
• Code generation, refactoring, and optimization
• Debugging, root-cause analysis, and performance investigations
• Test-case generation and technical documentation
• Leverage GitHub Copilot, Gemini, or similar tools to improve productivity and code quality
• Define practical, secure, and responsible AI usage patterns for engineering teams
• Core Expertise
• 10?15+ years of hands-on experience with C#, .NET, and enterprise application development
• Strong experience with .NET Core, Microservices, REST APIs
• Deep expertise in Microsoft Azure and cloud-native design patterns
• Strong knowledge of SQL Server / Azure SQL and data modeling
• AI & Engineering Productivity
• Proven experience using Claude in real engineering scenarios
• Experience with GitHub Copilot / Gemini or similar AI tools
• Ability to assess when AI adds value and when manual engineering judgment is required

Key Skills

Education

Any Graduate