Infrastructure Engineer (AI)
Hammersmith, England, United Kingdom
Space Executive
multi-cloud and on-premise environments . What You’ll Do Architect, deploy, and maintain production-grade AI solutions across multi-cloud and on-prem infrastructures. Design and manage Kubernetes-based environments to support high-performance AI workloads. Implement best practices for availability, observability, scalability, and security in AI infrastructure. Collaborate with enterprise clients to understand deployment constraints and design … with at least one major provider ( AWS, Azure, or GCP ). Proven ability to deploy and manage systems across hybrid or multi-cloud and on-premise environments. Expertise with Kubernetes, Docker , and container orchestration at scale. Familiarity with DevOps and site reliability engineering (SRE) best practices. Experience with CI/CD automation and infrastructure-as-code tools. Understanding of AI More ❯
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