Capgemini
Roles & Responsibilities Define and own the end-to-end architecture of enterprise IoT solutions covering edge computing, device connectivity, data ingestion, streaming, cloud platforms, data storage, analytics, APIs and user applications. Contribute to the architecture and development of reusable IoT platforms and solutions spanning Edge to Cloud. Design scalable, distributed and multi-tenant SaaS platform architectures for IoT products and connected applications. Develop, test and integrate cloud Platform-as-a-Service services to build applications accessible through web and mobile interfaces. Design and guide the implementation of cloud-native applications and microservices on AWS, Microsoft Azure or Google Cloud Platform. Define appropriate edge-processing patterns, device-management approaches, connectivity protocols and offline or intermittent-connectivity strategies. Architect real-time data-ingestion and event-streaming solutions using platforms such as Apache Kafka, Amazon Kinesis or Apache Pulsar. Design secure and high-performing RESTful, event-driven and public APIs for integration with devices, enterprise systems, partner platforms and third-party applications. Work across product, engineering, data, security, DevOps and user-experience teams to integrate platform components through well-defined public and internal APIs. Define NoSQL and relational database architectures, including data modelling, indexing, partitioning, retention, performance and scalability considerations. Provide hands-on architectural guidance for applications developed using .NET, Golang or Python and modern user-interface frameworks such as React or Angular. Establish cloud-infrastructure, observability, reliability, security, deployment and operational architecture standards. Define modern CI/CD, infrastructure-as-code, automated-testing and release-management practices suitable for SaaS-based product releases. Evaluate technology alternatives, undertake architecture trade-off assessments and create reference architectures, solution blueprints and implementation roadmaps. Support technical discovery, solutioning, estimations, proposals, client workshops and architecture governance for strategic IoT and edge-computing opportunities. Where applicable, design AI-enabled IoT capabilities using retrieval-augmented generation, machine learning and intelligent analytics architectures. Our Ideal Candidate Extensive experience designing scalable, distributed and cloud-native enterprise solutions or SaaS products. Strong understanding of end-to-end IoT architectures, including devices, gateways, edge computing, connectivity, telemetry ingestion, device management, cloud platforms and applications. Hands-on experience architecting and building IoT applications and connected-product platforms. Strong experience with cloud infrastructure and managed services on at least one major cloud platform: AWS, Microsoft Azure or Google Cloud Platform. Experience with IoT services such as AWS IoT, Azure IoT, Google Cloud-based IoT patterns or equivalent enterprise IoT platforms. Strong understanding of edge-computing architectures, local processing, protocol translation, remote management and edge-to-cloud integration. Experience with device and industrial communication protocols such as MQTT, AMQP, HTTP, OPC UA, Modbus or similar protocols. Strong knowledge of relational and NoSQL database design, data modelling, indexing, partitioning and performance optimization. Hands-on experience with at least one event-streaming or real-time data platform such as Apache Kafka, Amazon Kinesis or Apache Pulsar. Strong professional experience developing applications using one or more of .NET, Golang or Python. Experience designing and implementing APIs for cloud-native applications, including RESTful and event-driven integration patterns. Familiarity with building rich web applications using React or Angular and integrating them with cloud-based backend platforms. Good understanding of microservices, containers, Kubernetes, serverless computing and API-management technologies. Familiarity with modern CI/CD, DevSecOps, infrastructure-as-code, automated testing and SaaS release-management practices. Knowledge of cloud and IoT security, including device identity, certificate management, authentication, authorization, encryption and secure communications. Experience defining high-availability, disaster-recovery, observability, monitoring and operational-support architectures.