7 of 7 Remote/Hybrid Contract Google Kubernetes Engine Jobs

into measurable performance gains and cost savings at scale. What you'll be doing Drive infrastructure optimisation initiatives across large-scale Kubernetes environments (GKE) Identify and implement improvements in resource utilisation (CPU, memory, workload placement) Tune JVM-based services to enhance performance and efficiency Build automation to roll … data to analyse usage patterns and drive cost-efficiency decisions Contribute to reliability practices, including safe deployments and incident response Tech stack Kubernetes (GKE), Google Cloud Platform (GCP), Terraform, Helm, Python, Go, Java What we're looking for 3-5 years' experience in Infrastructure, Platform, or Site Reliability ...

Role: Java Architect GCP & Kubernetes Location: Sheffield , UK Position Type: Contract Inside IR35 Remote work option Available: Hybrid( 2 Days onsite in a week) Job Description: Key Responsibilities: Analyze existing on-premises application architecture and identify migration requirements. Design scalable, reliable, and secure cloud-based architecture on GCP utilizing … Java architect with extensive experience in designing large-scale enterprise applications. In-depth knowledge of GCP services, such as Compute Engine, GKE, Cloud Storage, Cloud SQL, etc. Strong expertise in Kubernetes, Docker, and container orchestration. Experience in migrating applications from on-premises infrastructure to cloud environments. Solid understanding ...

World Wide Technology UK is looking for a hands-on Cloud Engineer with strong expertise in HPC and AI/ML performance workloads on Google Cloud Platform (GCP). The role focuses on benchmarking, optimizing, and validating performance across advanced accelerator platforms including NVIDIA GPUs, AMD GPUs, and Google … automation tools for benchmarking and reporting Collaborate with teams to align workloads with optimal architecture Required Skills Strong experience with GCP (Compute Engine, GKE, Storage, Networking) Hands-on with NVIDIA (CUDA/NCCL), AMD (ROCm), and TPUs (XLA/JAX/TF) Solid knowledge of HPC concepts (MPI, RDMA ...

World Wide Technology UK is looking for a hands-on Cloud Engineer with strong expertise in HPC and AI/ML performance workloads on Google Cloud Platform (GCP). The role focuses on benchmarking, optimizing, and validating performance across advanced accelerator platforms including NVIDIA GPUs, AMD GPUs, and Google … automation tools for benchmarking and reporting Collaborate with teams to align workloads with optimal architecture Required Skills Strong experience with GCP (Compute Engine, GKE, Storage, Networking) Hands-on with NVIDIA (CUDA/NCCL), AMD (ROCm), and TPUs (XLA/JAX/TF) Solid knowledge of HPC concepts (MPI, RDMA ...

Developed Vetting (DV) security clearance to be considered. Key Responsibilities Agentic Workflows: Design, implement, and optimize multi-agent frameworks and stateful LLM applications. Kubernetes Orchestration: Containerize, deploy, and scale AI models, APIs, and microservices across production Kubernetes (K8s) clusters. Infrastructure & Scaling: Configure K8s workloads for high availability, managing … development via FastAPI/Flask). Cloud Infrastructure: Experience deploying to secure cloud environments (AWS, Azure, or GCP) utilizing standard K8s distributions (EKS, AKS, GKE). Clearance Requirements Hold active DV clearance (SC minimum) and willing to go through DV if chosen. ...

heavy infrastructure-tuning autoscalers, profiling services, and finding the perfect balance between peak reliability and cloud cost efficiency. What You'll Do Optimize GKE at Scale: Hands-on rightsizing of massive Kubernetes workloads and advanced autoscaler tuning. Profile JVM Services: Deep-dive into Java performance, interpret GC logs … infrastructure with a proven, hands-on track record in resource efficiency (not just monitoring). Deep Cloud & K8s expertise: Strong knowledge of GCP/GKE (or equivalent AWS/Azure depth with a willingness to switch). Strong Java/JVM skills: Ability to profile services, debug resource contention ...

heavy infrastructure-tuning autoscalers, profiling services, and finding the perfect balance between peak reliability and cloud cost efficiency. What You'll Do Optimize GKE at Scale: Hands-on rightsizing of massive Kubernetes workloads and advanced autoscaler tuning. Profile JVM Services: Deep-dive into Java performance, interpret GC logs … infrastructure with a proven, hands-on track record in resource efficiency (not just monitoring). Deep Cloud & K8s expertise: Strong knowledge of GCP/GKE (or equivalent AWS/Azure depth with a willingness to switch). Strong Java/JVM skills: Ability to profile services, debug resource contention ...