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Cloud Architect MS Azure - DevOps

Bosch Group · bangalore, India

  • Software & SaaS
  • 10,001+ employees
  • Gerlingen-Schillerhöhe, Baden-Wuerttemberg

Strong hiring record · median 38 days open

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Cloud Architect MS Azure - DevOps at Bosch Group. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Roles & Responsibilities

  • Design and architect scalable cloud-native platforms on Microsoft Azure for Automotive virtualization applications.
  • Define and implement microservices-based architectures using Python (FastAPI) or Node.js for distributed automotive cloud services
  • Architect and manage Azure Kubernetes Service (AKS) environments for containerized application deployment
  • Design API gateway architecture and API management strategy for secure service exposure using OpenAPI and RBAC/OAuth2
  • Implement DevOps pipelines using GitHub Actions / Azure DevOps for automated build, testing, and deployment
  • Establish CI/CD pipelines for frontend, backend, and data services across multiple environments
  • Design and manage Azure cloud infrastructure including App Services, Container Registry, Blob Storage, PostgreSQL, and IoT Hub
  • Implement Infrastructure as Code (IaC) using Terraform or similar tools to automate environment provisioning
  • Define cloud architecture for distributed co-simulation orchestration and virtual ECU environments
  • Implement secure authentication and identity management using Azure AD / OIDC integration
  • Enable logging, monitoring, and observability using Azure Monitor, Application Insights, and log analytics
  • Implement data pipelines and asynchronous messaging architectures for vehicle telemetry, IoT, and simulation data
  • Ensure security hardening, scalability, high availability, and cost optimization for cloud platforms
  • Collaborate with frontend engineers, backend engineers, and simulation teams to deliver end-to-end virtualization platform capabilities

Qualifications Educational Qualification

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Cloud Computing, or related field — or equivalent practical experience

Technical Skills

  • Minimum 6–10 years of experience in cloud architecture, DevOps, or platform engineering
  • Strong experience designing cloud-native platforms on Microsoft Azure
  • Expertise in Azure Kubernetes Service (AKS) and container orchestration
  • Strong knowledge of Docker containerization and microservices architecture
  • Experience implementing CI/CD pipelines using GitHub Actions, Azure DevOps, or similar tools
  • Hands-on experience with Infrastructure as Code tools such as Terraform
  • Experience designing and managing API gateways and service communication patterns
  • Knowledge of Azure services such as App Services, Container Registry, Blob Storage, PostgreSQL, and IoT Hub
  • Experience implementing secure authentication using OAuth2, RBAC, Azure AD, or OIDC
  • Understanding of data pipelines, asynchronous messaging, and distributed system design
  • Experience with monitoring, logging, and observability tools in cloud environments
  • Familiarity with Python (FastAPI) or Node.js for backend microservices architecture Good to Have (Automotive / SDV Domain)
  • Exposure to Software Defined Vehicle (SDV) architectures
  • Understanding of vehicle telemetry pipelines and IoT platforms
  • Experience with co-simulation orchestration platforms or virtual ECU environments
  • Knowledge of CAN, Automotive Ethernet, or vehicle communication systems (conceptual)
  • Awareness of automotive cybersecurity practices and secure cloud connectivity

Soft Skills

  • Strong system architecture and problem-solving skills
  • Ability to lead technical discussions and guide engineering teams
  • Strong collaboration skills with distributed development teams
  • Experience working in Agile / DevOps environments
  • Clear communication and documentation skills Additional Information Experience in designing and operating cloud platforms supporting distributed simulation, IoT telemetry, and SDV development ecosystems will be considered a strong advantage

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Cloud Computing, or related field — or equivalent practical experience

6+

Skills

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