- Design and implement cloud architectures specifically tailored for Software-Defined Vehicle ecosystems, including vehicle software updates, telemetry and diagnostics capabilities.

- Proven hands-on experience in AZURE / AWS / GCP cloud platform architecture and services, setting up complex cloud environments

- Extensive practical experience in designing and implementing Hybrid cloud setups, especially connecting and testing SDV features between cloud platforms and vehicle simulators or physical vehicles

- Strong background in DevOps practices and hands-on experience setting up and maintaining CI/CD pipelines using tools like GitHub, Jenkins etc, including Infrastructure as Code (IaC) pipelines using Terraform, CloudFormation etc.

- Well versed with security of data, applications and peripherals networks in cloud and on-premise setups

- Deep understanding of automotive domain functions to set-up the vehicle and sensor data handling for AD/ ADAS, Electrification, V2X communication, Digital Cockpit and Connected vehicle features development and deployment.

- Programming and scripting knowledge of languages such as Python, Go or Java

- Excellent analytical and problem-solving skills with ability to architect solutions for complex, real world challenges

- Strong knowledge in designing and implementing microservice based applications using Kubernetes container orchestrator

- Strong expertise on best practices for cloud applications architecture and security best principles

- Hands on experience using Relational databases such as SQL Server, PostgreSQL and NoSql services