• Design and evolve cloud-native architectures across the full platform stack — compute, API management, messaging, eventing, and data  primarily on Microsoft Azure (e.g., App Services, Container Apps, API Management, Service Bus, Event Hubs, Azure SQL); equivalent AWS services welcome, Azure preferred. 

• Define and deliver predictable, resource-oriented REST APIs with a strong focus on performance, security, and developer usability. 

• Apply microservice and domain-driven design (DDD) approaches to break large business domains into well-bounded services. 

• Apply modern architectural patterns (e.g., event-driven, CQRS, serverless) for scalable and maintainable solutions. 

• Partner with cross-functional teams to advance API-first development and DevOps best practices. 

• Produce and present architecture artifacts (sequence diagrams, domain models, data flow diagrams, AI workflows, and cloud blueprints) for both engineering and executive audiences. 

• Provide technical leadership on cloud modernization, legacy-to-microservices migration, AI-readiness, and platform performance. 

• Embed security and compliance practices across designs, including identity management, access control, and encryption. 

• Work with product and data teams to integrate AI and Generative AI capabilities (e.g., Azure AI Foundry, AWS Bedrock / AgentCore, or comparable platforms) into core products and help drive AI-powered automation across the platform. 

• Lead POCs that explore AI-driven automation, agentic patterns, API innovation, performance tuning, and cloud modernization strategies. 

• Champion the use of AI and intelligent automation to lift engineering productivity, code quality, and delivery velocity. 

• Mentor developers and guide teams on cloud-native development, AI integration, observability, and resiliency principles. 

• 7+ years of professional experience in .NET application architecture and development, with a strong C# foundation. 

• 5+ years designing and deploying cloud-native solutions (Azure or AWS) using microservices, RESTful APIs, and distributed-system design. 

• Hands-on experience with AI-assisted development tooling (e.g., GitHub Copilot, Claude Code, Cursor, or comparable agentic coding tools) and proven ability to apply them to lift team-wide engineering productivity. 

• Proven experience with security protocols (OAuth2, OpenID Connect) and identity providers (Okta, Azure AD / Entra ID). 

• Working knowledge of application security best practices — secure APIs, rate limiting, secrets management, RBAC, and Managed Identities. 

• Hands-on troubleshooting experience across both application and infrastructure layers. 

• Demonstrated ability to produce and present architecture artifacts (diagrams, specifications, solution blueprints). 

• Solid understanding of data integration patterns and event-driven systems, primarily on Microsoft Azure (e.g., Event Hubs, Service Bus, Kafka); equivalent AWS services welcome, Azure preferred. 

• Strong communication and collaboration skills, with a passion for enabling cross-functional success. 

Other Beneficial Skills 

• Hands-on experience integrating Generative AI capabilities (e.g., Azure AI Foundry, AWS Bedrock, or comparable platforms) into applications, including practical prompt engineering for business use cases. 

• Familiarity with agentic AI patterns, retrieval-augmented generation (RAG), and modern AI orchestration frameworks (MS Agent framework, Semantic Kernel, LangChain, or similar). 

• Experience with Kubernetes and container orchestration at enterprise scale. 

• Exposure to FinOps practices, including cost optimization and performance trade-offs. 

• Familiarity with Zero Trust Architecture, threat modeling, and advanced security reviews.