Cloud Architect MS Azure DevOps

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 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:  Bachelors or Masters degree in Computer Science Software Engineering Cloud Computing or related field or equivalent practical experience  Technical Skills:  Minimum 610 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 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  

Qualifications :

Bachelors or Masters degree in Computer Science Software Engineering Cloud Computing or related field or equivalent practical experience

Additional Information :

6

Remote Work :

No

Employment Type :

Full-time