Edge and IOT Architect

Capgemini Engineering; Bengaluru; Vor Ort; INR 4.000.000 - 6.000.000; Vollzeit

Zusammenfassung

Capgemini Engineering seeks an experienced IoT Architect to own end‑to‑end enterprise IoT architectures from edge to cloud across SaaS platforms. You will shape platform components, APIs, data streaming with Kafka/Kinesis, and multi‑tenant cloud‑native patterns.

Lead cross‑disciplinary teams, define CI/CD, security, and observability standards, and guide solutioning for strategic IoT opportunities in global environments.

Qualifikationen

• Extensive experience designing scalable, distributed and cloud‑native enterprise solutions or SaaS products.
• Strong understanding of end‑to‑end IoT architectures covering devices, gateways, edge, 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 AWS, Azure or Google Cloud.
• Experience with IoT services such as AWS IoT, Azure IoT, Google Cloud IoT patterns or equivalent.
• Knowledge of edge‑computing architectures, local processing, protocol translation and edge‑to‑cloud integration.
• Experience with device and industrial communication protocols such as MQTT, AMQP, HTTP, OPC UA, Modbus or similar.
• Strong knowledge of relational and NoSQL database design and performance optimization.
• Hands‑on with at least one real‑time data platform such as Kafka, Kinesis or Pulsar.
• Proficiency in .NET, Golang or Python and UI frameworks like React or Angular.
• API design for cloud‑native apps, RESTful and event‑driven patterns.
• Familiarity with React/Angular and cloud backends.
• Understanding of microservices, containers, Kubernetes and serverless tech.
• Familiarity with CI/CD, infrastructure‑as‑code and SaaS release management.
• Knowledge of cloud and IoT security, device identity and encryption.

Aufgaben

• 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 Kafka, Kinesis or Pulsar.
• Design secure and high‑performing RESTful, event‑driven and public APIs for integration with devices and systems.
• Work across product, engineering, data, security, DevOps and UX teams to integrate platform components via APIs.
• Define NoSQL and relational database architectures, including data modelling, indexing, partitioning, retention and performance.
• Provide hands‑on guidance for applications using .NET, Golang or Python and UI frameworks like 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 for SaaS.
• Evaluate tech alternatives, create reference architectures and roadmaps.
• Support technical discovery, solutioning, estimations, proposals and architecture governance.

Kenntnisse

IoT architectures

Edge computing

Cloud native design

API design

Microservices

Kubernetes

DevOps

Security

Data streaming

SaaS architecture

Tools

AWS

Azure

Google Cloud Platform

React

Angular

Apache Kafka

Amazon Kinesis

Apache Pulsar

MQTT

Jobbeschreibung

• 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.

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.