Azure Cloud Technical Architect

Job Title: Technical Architect

Key Responsibilities

• Own and drive architecture and design decisions for multiple products and integration platforms.
• Define scalable, resilient, and secure system architectures using modern cloud-native approaches.
• Design and implement microservices-based and event-driven architectures.
• Architect and develop APIs using C#, .NET/.NET Core, and GraphQL.
• Lead technical design discussions, produce architecture documents, and ensure alignment with business goals.
• Provide technical guidance and oversight to engineering teams without direct people management responsibilities.
• Ensure adherence to best practices in scalability, performance, security, and maintainability.
• Design cloud-native integration solutions on Microsoft Azure.
• Collaborate with product owners, stakeholders, and cross-functional teams to translate business requirements into technical solutions.
• Drive end-to-end solution design, including integration patterns, data flow, and system interactions.
• Identify and resolve complex architectural and system-level challenges.
• Contribute to continuous improvement in architecture standards, DevOps practices, and engineering processes.

Required Skills & Expertise

• Architecture & Design
• Strong experience in solution and application architecture across multiple systems/products.
• Deep understanding of design patterns, clean architecture, and scalable system design.
• Expertise in microservices architecture and distributed systems.
• Experience with event-driven and integration patterns.
• Technical Skills
• Strong proficiency in C# and .NET / .NET Core.
• Solid experience building RESTful APIs and GraphQL services.
• Hands-on experience with Microsoft Azure, including:
• App Services
• Azure Functions
• Azure API Management
• Service Bus
• Storage services
• Experience designing cloud-native and distributed applications.
• Strong knowledge of authentication and authorization (OAuth, JWT, Azure AD).
• Familiarity with CI/CD pipelines and DevOps practices.
• Exposure to AI-assisted development within the SDLC.
• Experience with SQL Server and/or NoSQL databases.
• Knowledge of API design standards, versioning, and documentation (Swagger/OpenAPI).
• Strong focus on performance optimization and scalability.