Azure DevOps Architect

Experience in IoT and Digital technologies including, but not limited to the below mentioned.
Open source :- Kafka, , MySQL, C#, .Net, Python, Docker, Kubernetes, Messaging frameworks like (RabbitMQ, MosquitoMQTT etc.), Angular
And any one of these Technologies
Cloud Azure - IoT hub, Event Hub, AKS, Stream analytics, CosmosDB, HD Insights, API management, PowerBI, Blob storage, Azure VMS, VNETs and Azure Load balancers.
Cloud AWS - AWS IoT, AWS EMR, API gateway, VPC, ELB
IoT Network technologies, protocols including MQTT, REST, AMQP, HTPS, Websockets
Envision and develop end-to-end solution architecture for IoT based business solutions spanning IOT devices/Gateways, connectivity, cloud, apps, integration and security layers, Analytics addressing functional and non-functional aspects
Experience in integrating various solutions that enable digital transformation using leading IOT platforms.
Able to guide developers in building solutions in Azure
Able to build & showcase solutions in agile way
Cloud computing, with implementation experience in either of AWS, Azure or On Premises cloud.
Work in implementation teams and provide architecture governance, technical and design guidance to implementation teams, own, articulate and defend the end-to-end solutions with customer stakeholders.
Early Identification of Risks in implementation and assist Program management to manage the schedules effectively
Experience in platform architecture and engineering non-functional including availability, scalability, reliability, performance, interoperability, and also SaaS based Multitenancy Architecture
Knowledge of end-to-end security for IoT security spanning across edge layer security, application, transport, network, cloud and infrastructure security controls, IDAM as well as data privacy and protection controls.
Knowledge and awareness on IoT gateways products, agents, sensors and devices.
Own and establish best practices in architecture, design and development, understanding over DevOPs process and tools. Guide and Mentor development teams in driving best practices in engineering and software development.
Awareness on top of trends and technologies on Digital, IoT, cloud, big data, analytics and AI, evaluate technologies and perform trade-offs.
Should be able to delve in depth in project execution, realize defined architecture and trouble shoot issues in coordination with the development team