26 to 36 of 36 Google Kubernetes Engine Jobs in England

primary way of working Test‐driven development (TDD) Continuous refactoring and clean code discipline • Cloud experience in CARE Cloud/GCP, including: GKE and/or Cloud Run Cloud SQL, Memorystore Artifact Registry, Cloud Logging Key Management • CI/CD and SDLC experience in a regulated/enterprise environment • Comfortable ...

Python. Developing secure, scalable GCP landing zones with org policies, policy-as-code (OPA/Sentinel), guardrails, and zero-trust principles. Working deeply with GKE , containers, Istio, cluster ops, and cloud-native networking. Integrating CI/CD pipelines (GitHub, Jenkins, Harness) to automate everything from builds to deployments. Driving cloud … Strong GCP cloud engineering background with a DevOps mindset. Terraform expertise (modules, state, workspaces, enterprise patterns). Solid Python scripting for tooling and automation. GKE, service mesh, containerisation & cluster management experience. Experience implementing org-level governance, security, and policy-as-code. Certifications in GCP and Terraform are a big plus. ...

Security: Key, certificate and secrets Management. • Identity and Access Management: Securing user/non-user access at scale. • Infrastructure Security: Kubernetes (AKS/GKE/Istio), API Security, IaC security (e.g. Terraform, ARM templates). • Network Security: Zero Trust, firewalls, segmentation, DDoS Protection. • Security Logging and Monitoring: Security logging … security risks and mitigations. • Anticipate customer needs taking proactive steps to address them. Desirable Certifications • CISSP, CCSP, or equivalent certifications. • Azure Security Engineer Associate, Google Professional Cloud Security Engineer. • Microsoft Certified: Azure Solutions Architect Expert, Google Professional Cloud Architect. ...

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 ...

Security Command Center, or similar Network security in cloud environments - VPCs, security groups, firewalls, WAFs Experience securing Kubernetes workloads and container environments (GKE experience a plus) IaC security (Terraform, CloudFormation) - spotting misconfigs before they hit production Knowledge of compliance frameworks relevant to Fintech … Cloud-native logging and monitoring - Google Cloud Logging, Chronicle, or similar Someone who's comfortable working across engineering teams, not just sat in a silo This is a proper hands-on role with real ownership. If you want to actually shape how cloud security is done at a growing ...

Security Command Center, or similar Network security in cloud environments - VPCs, security groups, firewalls, WAFs Experience securing Kubernetes workloads and container environments (GKE experience a plus) IaC security (Terraform, CloudFormation) - spotting misconfigs before they hit production Knowledge of compliance frameworks relevant to Fintech … Cloud-native logging and monitoring - Google Cloud Logging, Chronicle, or similar Someone who's comfortable working across engineering teams, not just sat in a silo This is a proper hands-on role with real ownership. If you want to actually shape how cloud security is done at a growing ...

project management. 5 years of experience in customer management and stakeholder engagement. 3 years of experience with AI/ML Infrastructure (e.g., GPUs, GKE, EKS, Kubernetes, Kubeflow). Preferred qualifications MBA or advanced degree in Computer Science, Engineering, or a related field. Experience with customer‐facing migration, including service ...

management. 7 years of experience in customer management and stakeholder engagement for deployments. 5 years of experience with AI/ML infrastructure (e.g., GPUs, GKE, EKS, Kubernetes, Kubeflow). Preferred qualifications MBA or advanced degree in Computer Science, Engineering, or a related field. Experience in customer-facing migration, including ...

Principal Software Engineer I for the R&D Policy Team. This team owns the full lifecycle of Menlo’s cybersecurity policy platform — the engine that defines how the product protects enterprise customers from web-based threats. That spans policy storage and management (authoring, versioning, and serving the rules that … hands‐on backend development in Python, Node.js, or Go; 5+ years with cloud platforms (AWS or GCP), including managed Kubernetes (EKS/GKE). Proven experience architecting distributed systems with strong reliability, scalability, and low‐latency requirements — ideally in a security, networking, or high‐throughput data path context. Hands ...

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 ...