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+