7 of 7 Auto-Scaling Jobs in the South East

Kubernetes cluster and be a good leader for your team Kubernetes, Python, Bash, Docker, CI/CD, Monitoring, Automation Strong experience of Kubernetes, Autoscaling on AWS, Karpenter etc Crossplane experience a plus Experience of DevOps concepts and experience of deploying CI/CD pipelines using cloud native and third-party ...

changes across all programmes. Target Architecture Definition End to end architecture for CI workloads running on Kubernetes Workload isolation, networking, and artifact flow design Autoscaling strategy Resource management approach Secure Container Supply Chain Image build, scanning, and promotion architecture Registry design and environment separation model Policy enforcement approach Secrets management ...

changes across all programmes. Target Architecture Definition End to end architecture for CI workloads running on Kubernetes Workload isolation, networking, and artifact flow design Autoscaling strategy Resource management approach Secure Container Supply Chain Image build, scanning, and promotion architecture Registry design and environment separation model Policy enforcement approach Secrets management ...

mission-driven organization. Responsibilities What you’ll own Reliability of platform(includes ML and LLM workloads) - model serving and inference infrastructure (GPU-backed endpoints, autoscaling, latency and cost tradeoffs), with SLOs, on-call, and incident response that cover models, not just services Observability(includes ML models) - drift and performance monitoring ...

Model Context Protocol, model‐serving platforms, vector databases and LLM gateways. Experience implementing AI evaluation, observability, tracing and performance monitoring. Experience with high availability, autoscaling, load testing, incident management or restricted environments. Experience applying AI to scientific, engineering, energy or geoscience workflows. Why work with us? Competitive salary commensurate with ...

Model Context Protocol, model-serving platforms, vector databases and LLM gateways. Experience implementing AI evaluation, observability, tracing and performance monitoring. Experience with high availability, autoscaling, load testing, incident management or restricted environments. Experience applying AI to scientific, engineering, energy or geoscience workflows. Why work with us? Competitive salary commensurate with ...

teams. What you'll be doing Define end-to-end target architecture for CI workloads running on Kubernetes Design workload isolation, networking, artefact flow, autoscaling and resource management Build out a secure container supply chain approach (image build, scanning, promotion, registry design, environment separation) Set direction on policy enforcement ...