101 to 105 of 105 Kubernetes Jobs in Bedfordshire

months Remote-first (UK) with hybrid London office option Up to £130,000 + equity Go, Node/Typescript on GCP/AWS with Kubernetes Senior Product Engineer - We're working with a rapidly scaling AI-native SaaS company who raised an impressive Series B round in 2025. Their platform … Remote-first (UK) with hybrid London office option Up to £130,000 + equity Go and Typescript/Node on GCP/AWS with Kubernetes ...

client is looking for a Kubernetes/Containers Solution Architect Outside IR35 Rate: Negiotiable The Role: Build and deliver Kubernetes clusters (RKE2/Rancher/GitOps). Implement Cluster API (CAPI) and Metal3 to automate bare-metal environments. Contribute to cluster lifecycle automation: node management, upgrades, patching (including air-gapped … clusters via the OpenStack CAPI provider. Integrate with OSS APIs and observability platforms. Ensure clusters meet TSA and CIS hardening requirements. The Person Strong Kubernetes experience (RKE2 preferred), Rancher, GitOps. Proven experience with CAPI and Metal3. Security hardening: TSA, CIS benchmark. Experience integrating with OSS and observability tooling. For immediate ...

client is looking for a Kubernetes/Containers Solution Architect Outside IR35 Rate: Negiotiable The Role: Build and deliver Kubernetes clusters (RKE2/Rancher/GitOps). Implement Cluster API (CAPI) and Metal3 to automate bare-metal environments. Contribute to cluster lifecycle automation: node management, upgrades, patching (including air-gapped … clusters via the OpenStack CAPI provider. Integrate with OSS APIs and observability platforms. Ensure clusters meet TSA and CIS hardening requirements. The Person Strong Kubernetes experience (RKE2 preferred), Rancher, GitOps. Proven experience with CAPI and Metal3. Security hardening: TSA, CIS benchmark. Experience integrating with OSS and observability tooling. For immediate ...

core of modern AI infrastructure. Our client develops an enterprise platform that simplifies how organisations deploy, manage, and operate AI/ML workloads across Kubernetes environments. The product is designed for performance-critical AI use cases, enabling customers to run GPU-accelerated workloads at scale with reliability and efficiency. About … with customers and internal engineering teams to troubleshoot issues related to GPU performance, networking, and distributed systems. Key focus areas include: AI infrastructure on Kubernetes NVIDIA GPUs and GPU scheduling GPU interconnects and high-performance networking Understanding why high-bandwidth, low-latency interconnects (e.g. InfiniBand) are critical for scalable ...

core of modern AI infrastructure. Our client develops an enterprise platform that simplifies how organisations deploy, manage, and operate AI/ML workloads across Kubernetes environments. The product is designed for performance-critical AI use cases, enabling customers to run GPU-accelerated workloads at scale with reliability and efficiency. About … with customers and internal engineering teams to troubleshoot issues related to GPU performance, networking, and distributed systems. Key focus areas include: AI infrastructure on Kubernetes NVIDIA GPUs and GPU scheduling GPU interconnects and high-performance networking Understanding why high-bandwidth, low-latency interconnects (e.g. InfiniBand) are critical for scalable ...