10 of 10 Contract Google Kubernetes Engine Jobs

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 ...

current and upcoming demand across cloud engineering, secure platform engineering, DevSecOps/SRE, and modern infrastructure transformation. We are particularly building capability in: Google Cloud Platform (GCP) Google Distributed Cloud (GDC)/air-gapped deployments Secure-by-design cloud engineering for Defence and high-assurance environments Kubernetes … Google Distributed Cloud (GDC) DevOps, DevSecOps or Site Reliability Engineering (SRE) Platform Engineering and secure cloud design Kubernetes and container platforms (GKE/secure clusters) Infrastructure-as-Code (Terraform) Secure cloud operations (IAM, RBAC, networking, secrets management) You are comfortable working within secure, regulated environments and collaborating directly ...

including: Mob programming as a primary way of working Test-driven development (TDD) Continuous refactoring and clean code principles Cloud experience with GCP, including: GKE and/or Cloud Run Cloud SQL and Memory store Artifact Registry and Cloud Logging Key Management Experience with CI/CD and SDLC ...

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. ...

months likely extension £600pd outside IR35 Active DV or SC clearance required Key Responsibilities Architecture & Design Develop secure architecture designs for container platforms (e.g., Kubernetes, OpenShift, Docker). Architect and strengthen security controls across virtualisation technologies , including VMware, Hyper V, and cloud-native virtualisation frameworks. Produce high-quality HLDs … Virtualisation platforms such as VMware vSphere/ESXi, Hyper V, or KVM. Cloud platforms (AWS, Azure, GCP) and container services (AKS/EKS/GKE). Strong understanding of: Network and infrastructure security Zero Trust principles Identity and Access Management (IAM) Secrets management Workload isolation and micro segmentation Knowledge ...

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 ...

SENIOR HPC/COMPUTE ARCHITECT ROLE OVERVIEW Owns the strategy and design for optimising risk computation stack across both the C++ engine and the Rust library, from initial architecture through production stabilisation and intraday extension. Responsible for architecture, validation strategy, and technical metrics framework. KEY RESPONSIBILITIES - Define the performance … architecture: distributed computation orchestration, job scheduling, workload partitioning for large-scale risk batch; GCP-native grid or cloud HPC frameworks - GCP compute infrastructure: GKE batch workloads, GCE instance selection for compute-intensive workloads, Cloud Batch or equivalent - Performance profiling discipline: CPU profilers (perf, VTune, gperf), memory allocator analysis, latency measurement ...