System/Solution Architect (IoT SaaS Platform)

About the roleSystem/Solution Architect is responsible for understanding the design requirement, solutioning, develop, simulation and integration. This include develop the end to end IoT architecture to ensure the vertical and horizontal scalability, auto scaling, self healing, stable performance, secure and also develop documentation. He/She will work closely with pre-sales and engineering team to understand their feedback and keep enhancing the IIoT platform. Key Responsibilities:Architecture Design Design Cloud Microservices architecture for IoT Platform Design cost and performance effective, event driven architecture for IoT Platform Design high scalable, high availability architecture Design multi-tenant and cloud agnostic architecture with cost effective way Develop Functional Design Document. Security Best Practices, Design end to end security including benchmarking and penetration test. Security such as authentication, authorization, cryptographic, OWASP standard, JWT, etc. Perform Sanity test, security test, pent test with 3rd party, unit integration and other tests. Operation Deployment strategy Performance test especially for the ingestion to be capable to handle large number of device with fast interval (less than second) and auto scale up/down with the cost effective way. Performance test for the dashboard to ensure auto scale horizontally and vertically with large number of user accessing the UI and data DevOps tasks with Azure DevOps as a priority. Deploy CI/CD pipeline – Azure DevOps include detail architecture Helm, etc. And train the Engineer to be able to do it independently to support operation. Exception handling, logging, localization, caching strategy, portability, performance, and transaction management Fault management and notification Development Development standard and best practices. Design technologies based on Business Requirement which cover domain, application persistence, infra and presentation layer. Design logical view, data processing, ETL, standardization, and transformation.  Data modelling and mapping for IoT data (unstructured) and structure data Database migration API integration Training DevOps training Development training.