Cloud & AI System Engineer

Audi Revolut F1 Team

Design, deploy and maintain secure hybrid infrastructure services across Microsoft Azure, AWS, Microsoft 365, IAM/IDP, cloud-native platforms, data centre systems and local on-premise environments at all company locations;
Implement automation and infrastructure as code using tools such as Terraform, Ansible, scripting and CI/CD practices to improve reliability and repeatability;
Operate and continuously improve Kubernetes, container platforms, integration services, monitoring, logging, secrets management and related platform components;
Support the introduction and operation of approved AI platforms and AI-enabled IT services in line with company governance, cybersecurity, data protection and compliance requirements;
Monitor system performance, troubleshoot incidents, optimise resource usage across hybrid cloud and on-premise platforms, and contribute to operational support including documentation and on-call readiness where required.

Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering or equivalent professional experience;
Extensive experience in hybrid cloud infrastructure, on-premise system engineering, platform engineering, DevOps or related IT operations roles;
Practical experience with Azure, AWS and Microsoft 365 services, including secure design, deployment, administration and troubleshooting;
Strong knowledge of infrastructure as code, automation, CI/CD, monitoring, logging, networking, virtualisation, storage, backup, Windows Server and Linux system administration;
Experience with Kubernetes, container platforms, secrets management, Kafka or ELK/Elastic-based monitoring and logging platforms;
Understanding of cybersecurity, access management, data protection and compliance requirements for cloud and AI-enabled services;
Fluent in English, with strong written and verbal communication skills;
Experience in motorsport, high-performance engineering, automotive, manufacturing or other fast-paced technical environments;
Knowledge of AI platforms, MLOps concepts, Microsoft Copilot, generative AI services, data platforms or enterprise AI governance processes;
Experience in cloud managed endpoint management.