6 of 6 Permanent Auto-Scaling Jobs in Scotland

decomposition strategy, domain modeling, and data migration planning. Re‐architect existing infrastructure to achieve high scalability, reliability, and availability (multi‐AZ/region patterns, autoscaling, HA/DR). Deliver features end‐to‐end, build backend services and APIs (REST/GraphQL) in Java/Spring Boot and contribute ...

decomposition strategy, domain modeling, and data migration planning. Re‐architect existing infrastructure to achieve high scalability, reliability, and availability (multi‐AZ/region patterns, autoscaling, HA/DR).Deliver features end‐to‐end, build backend services and APIs (REST/GraphQL) in Java/Spring Boot and contribute to operational ...

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 ...

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/ ...

Implement observability across logs, metrics, and traces with dashboards and actionable alerting for large language model and GPU workloads Tune GPU and accelerator capacity, autoscaling, and cost efficiency for large language model inference workloads using performance optimization techniques such as quantization, parallelism, and speculative decoding Lead reliability engineering for large ...

delivery pipelinesImplement observability across logs, metrics, and traces with dashboards and actionable alerting for large language model and GPU workloadsTune GPU and accelerator capacity, autoscaling, and cost efficiency for large language model inference workloads using performance optimization techniques such as quantization, parallelism, and speculative decodingLead reliability engineering for large language ...