26 to 50 of 87 Auto-Scaling Jobs in the UK

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 ...

troubleshooting and resolution of cloud infrastructure and application issues, including AKS pod/node failures, deployment rollbacks, ingress and networking issues, and resource/autoscaling problems. Participate in an on-call rotation (including weekends) and drive incident response from detection through resolution, with a primary focus on customer experience ...

vulnerability scanning in the pipeline. Cost optimization & FinOps: Architect GCP workloads for optimal cost efficiency from day one, leveraging committed use discounts, auto-scaling, right-sizing, and cost monitoring guardrails. Technical leadership: Lead the DevOps function: own architectural decisions, run code reviews for infrastructure changes, and set engineering ...

based architectures; Familiarity with serverless architecture and AWS services related to cloud networking and storage; Experience with cloud scalability and availability concepts, including Auto Scaling and Load Balancing; Experience working with CI/CD pipelines and deployment automation; Familiarity with Docker and Kubernetes; Experience using GitHub and modern ...

traces) with dashboards and actionable alerting, including Prometheus metrics and Grafana/Alertmanager integration for LLM and GPU workloads Tune GPU and accelerator capacity, autoscaling, and cost efficiency for LLM inference workloads using performance and optimization techniques (e.g., quantization, parallelism, speculative decoding) Lead reliability engineering for LLM endpoints through capacity ...

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 ...

love you to be part of the journey. **What we’re looking for:*** Deep, hands-on Kubernetes experience: workload design, networking, autoscaling, RBAC, and multi-tenancy isolation.* Strong Terraform and infrastructure-as-code skills, with a track record of managing production cloud estates.* Substantial GCP experience (GKE, IAM, VPC/ ...

love you to be part of the journey. **What we’re looking for:*** Deep, hands-on Kubernetes experience: workload design, networking, autoscaling, RBAC, and multi-tenancy isolation.* Strong Terraform and infrastructure-as-code skills, with a track record of managing production cloud estates.* Substantial GCP experience (GKE, IAM, VPC/ ...

love you to be part of the journey. What we’re looking for: Deep, hands-on Kubernetes experience: workload design, networking, autoscaling, RBAC, and multi-tenancy isolation. Strong Terraform and infrastructure-as-code skills, with a track record of managing production cloud estates. Substantial GCP experience (GKE, IAM, VPC/ ...

secure K8s architectures across hybrid environments (AWS/Azure/Sovereign Cloud) to ensure absolute data isolation between global industrial customers. GPU Orchestration: Manage autoscaling and high‐performance scheduling for NVIDIA H100/L40 clusters to handle "bursty" physics inference demands. Hybrid‐Cloud Networking: Manage data gravity and secure connectivity ...

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 ...

environments Strong experience with Terraform, Ansible or similar Infrastructure as Code and automation tools Good understanding of scalable and resilient engineering practices, including auto-scaling, automated failover and deployment strategies Experience supporting DevOps toolchains and CI/CD, with exposure to container technologies such as Docker and Kubernetes ...

quickly. Observability & Reliability: Instrument the stack with OpenTelemetry and Datadog to ensure we detect issues before our users do. AI Performance Tuning: Tune autoscaling and network routing to handle resource-intensive LLM workloads with ultra-low latency. About Solve Intelligence We’re the fastest-growing startup transforming the IP industry. ...

environments Strong experience with Terraform, Ansible or similar Infrastructure as Code and automation tools Good understanding of scalable and resilient engineering practices, including auto‐scaling, automated failover and deployment strategies Experience supporting DevOps toolchains and CI/CD, with exposure to container technologies such as Docker and Kubernetes ...

staging, and production. DevOps & Microservices : Drive operational perfection in a GitOps model using Argo CD. Implement progressive delivery (canary releases, validation gates), codify autoscaling and resiliency, and manage secure secrets via HashiCorp Vault and Kubernetes Secrets. Embrace AI technology : Use AI-assisted tools to accelerate development, validation, and optimization ...

staging, and production. DevOps & Microservices: Drive operational perfection in a GitOps model using Argo CD. Implement progressive delivery (canary releases, validation gates), codify autoscaling and resiliency, and manage secure secrets via HashiCorp Vault and Kubernetes Secrets. Embrace AI technology: Use AI-assisted tools to accelerate development, validation, and optimization ...

staging, and production. DevOps & Microservices : Drive operational perfection in a GitOps model using Argo CD. Implement progressive delivery (canary releases, validation gates), codify autoscaling and resiliency, and manage secure secrets via HashiCorp Vault and Kubernetes Secrets. Embrace AI technology : Use AI-assisted tools to accelerate development, validation, and optimization ...

/Engineering requirement User Management using Identity Access Management (IAM) DNS Hosting and Management – Route53 Application Deployment using Elastic Beanstalk Managing the Load balancer & Autoscaling Container deployment and Management using Elastic Container Service (ECS), Docker, Kubernetes Fargate Elasticsearch Cluster Management Storage Management – S3 bucket management (creation, access policy management, Lifecycle ...

/Engineering requirement User Management using Identity Access Management (IAM) DNS Hosting and Management – Route53 Application Deployment using Elastic Beanstalk Managing the Load balancer & Autoscaling Container deployment and Management using Elastic Container Service (ECS), Docker, Kubernetes Fargate Elasticsearch Cluster Management Storage Management – S3 bucket management (creation, access policy management, Lifecycle ...

/Engineering requirement User Management using Identity Access Management (IAM) DNS Hosting and Management – Route53 Application Deployment using Elastic Beanstalk Managing the Load balancer & Autoscaling Container deployment and Management using Elastic Container Service (ECS), Docker, Kubernetes Fargate Elasticsearch Cluster Management Storage Management – S3 bucket management (creation, access policy management, Lifecycle ...

Hands-on implementation and troubleshooting of Azure Databricks* Databricks Serverless configuration and workload optimisation* Databricks SQL and Delta Lake development* Cluster management, compute policies, autoscaling, and workload monitoring**Data Engineering*** Strong Python, PySpark, and SQL development skills* Design and build ingestion and transformation pipelines* Full and incremental data loading ...

Hands-on implementation and troubleshooting of Azure Databricks* Databricks Serverless configuration and workload optimisation* Databricks SQL and Delta Lake development* Cluster management, compute policies, autoscaling, and workload monitoring**Data Engineering*** Strong Python, PySpark, and SQL development skills* Design and build ingestion and transformation pipelines* Full and incremental data loading ...

Scale: Spearhead multi-quarter modernization initiatives, driving the transition of foundational services to resilient, containerized cloud environments while optimizing deployment pipelines and auto-scaling patterns. Direct High-Stakes Integrations: Lead the technical alignment and distributed architecture bridging Bitstamp’s exchange backend with Robinhood’s global infrastructure, solving complex ...