AI Infrastructure Engineer — Multi-Cloud & Kubernetes

Space Executive; Greater London; Vor Ort; GBP 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Fast-growing company

Real-world AI deployments

High-performance culture

Zusammenfassung

A pioneering tech company based in the UK is looking for an Infrastructure AI Engineer to design and manage cutting-edge AI infrastructure for enterprise deployments. The ideal candidate should have strong cloud infrastructure experience and be adept with Kubernetes and Docker. This full-time role focuses on architecting AI solutions across multi-cloud environments, engaging closely with clients to tailor solutions, and implementing best practices for security and scalability. Join the team at the forefront of AI innovation and help drive transformations in analytics workflows.

Qualifikationen

• Experience with at least one major cloud provider: AWS, Azure, or GCP.
• Ability to manage hybrid or multi-cloud and on-premise systems.
• Strong understanding of AI/ML deployment patterns.

Aufgaben

• Architect and maintain production-grade AI solutions in multi-cloud and on-premise infrastructures.
• Design Kubernetes environments for high-performance AI workloads.
• Implement best practices for scalability and security in AI infrastructure.
• Collaborate with clients for tailored deployment solutions.

Kenntnisse

Cloud infrastructure engineering

Kubernetes

Docker

DevOps best practices

CI/CD automation

Client-facing communication

Tools

Terraform

Helm

Jobbeschreibung

A pioneering tech company based in the UK is looking for an Infrastructure AI Engineer to design and manage cutting-edge AI infrastructure for enterprise deployments. The ideal candidate should have strong cloud infrastructure experience and be adept with Kubernetes and Docker. This full-time role focuses on architecting AI solutions across multi-cloud environments, engaging closely with clients to tailor solutions, and implementing best practices for security and scalability. Join the team at the forefront of AI innovation and help drive transformations in analytics workflows.