Role Overview We are looking for a highly skilled .NET API Technology Architect to drive the technical design, structure, and implementation of our enterprise API ecosystem. In this role, you will focus on translating business requirements into robust, high-performance technical frameworks, with a foundational emphasis on building world-class RESTful services. You will be the go-to technical expert for the .NET ecosystem, containerization (Docker/Kubernetes), and clean code practices. Additionally, we are looking for a modern architect who actively utilizes AI-driven engineering tools to optimize workflows, accelerate design phases, and maintain a competitive edge. Key Responsibilities API Technology REST Standards Design ● Define, design, and enforce strict REST API standards and governance across all enterprise services, ensuring high-throughput, security, and resilience. ● Implement advanced architectural patterns such as Microservices, Domain-Driven Design (DDD), CQRS, and Event-Driven Architecture. ● Design uniform resource naming, versioning strategies, payload structures, and robust error-handling mechanisms standard to enterprise RESTful environments. ● Define data modeling, caching strategies, and integration patterns across microservices. Containerization Platform Orchestration ● Architect container-native development and deployment workflows using Docker. ● Design, configure, and optimize enterprise deployments on Kubernetes (K8s), managing ingress, service meshes, scalability, and resource limits. Code Quality Engineering Standards ● Establish rigorous code quality baselines, promoting SOLID principles, classic design patterns, and clean architecture templates. ● Set standards for testing automation (unit, component, and integration testing) and ensure secure coding practices are embedded in the API lifecycle. ● Conduct deep-dive technical reviews to resolve complex architectural bottlenecks and technical debt. AI-Assisted Engineering ● Integrate AI productivity tools (e.g., GitHub Copilot, advanced LLM prompt engineering, AI code review tools) into the architectural and development lifecycle to increase velocity. ● Guide engineering teams on best practices for safely and effectively leveraging AI tools during development and refactoring. Job SummaryJob number: CREQ266375Profession: OtherExperience: 5
Senior Consultant
