Edge and IOT Architect

Capgemini; Bengaluru; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Capgemini Bengaluru is seeking an experienced IoT Architecture Lead to own end-to-end enterprise IoT architectures. You will design scalable, cloud-native SaaS platforms spanning edge to cloud and guide API, data, and security strategies for connected applications.

You will work across product, engineering, data, and security teams, shaping reference architectures and roadmaps. Strong cloud and IoT service experience is required, with hands-on coding in .NET, Golang or Python and modern UI

Qualifications

• Experience designing scalable, distributed, cloud-native enterprise IoT solutions.
• Strong end-to-end IoT architecture knowledge across devices, gateways, edge, and cloud.
• Hands-on IoT apps development and connected-product platforms.
• Proficiency with at least one major cloud platform and IoT services.
• Understanding of edge computing, device management, and telemetry ingestion.
• Familiarity with API design for cloud-native apps and microservices.

Responsibilities

• Define and own end-to-end architecture of IoT solutions spanning edge to cloud.
• Contribute to reusable IoT platforms and solutions across Edge to Cloud.
• Design scalable SaaS platform architectures for IoT products.
• Develop, test and integrate cloud PaaS services for web and mobile apps.
• Design cloud-native apps and microservices on AWS, Azure or GCP.
• Define edge-processing patterns, device-management approaches and connectivity strategies.
• Architect real-time data ingestion and streaming with Kafka, Kinesis or Pulsar.
• Design secure RESTful and event-driven APIs for devices and enterprise systems.
• Collaborate across product, engineering, data, security and DevOps teams.
• Define database architectures (NoSQL and relational) for scalability.
• Provide hands-on guidance with .NET, Golang or Python and UI frameworks like React/Angular.
• Establish cloud infrastructure, observability, security and deployment standards.
• Define CI/CD, IaC, automated tests and SaaS release practices.
• Evaluate tech options and create reference architectures and roadmaps.
• Support discovery, proposals and architecture governance for IoT projects.
• Where applicable, design AI-enabled IoT capabilities using LLM and analytics.

Skills

IoT architecture

Edge computing

Cloud platforms

APIs design

Microservices

Kubernetes

CI/CD

Python

Java/.NET

Tools

Kafka

Kinesis

Pulsar

AWS

Azure

GCP

Job description

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.