Negotiable
Inside
Remote
United Kingdom
Summary: The GCP Public Cloud Infrastructure Architect role involves leading the design and deployment of cloud infrastructure for enterprise and public sector clients in the UK. The position requires expertise in architecting scalable and secure infrastructure, managing HPC workloads, and deploying applications using Google Kubernetes Engine. The architect will collaborate with various teams to implement best practices and ensure optimized performance and compliance. This is a contract position with an inside IR35 status.
Key Responsibilities:
- Architect and implement infrastructure solutions on Google Cloud for compute-intensive and enterprise-grade environments.
- Design and optimize HPC workloads leveraging GCP services like Compute Engine, Preemptible VMs, TPUs/GPUs, Filestore, and Parallel File Systems.
- Architect and manage GKE clusters (standard and autopilot), ensuring high availability, performance, and security.
- Develop and manage CI/CD pipelines using tools like Cloud Build, GitLab, ArgoCD, or Jenkins integrated with GKE.
- Automate deployment workflows and platform management using Terraform, Helm, and Kustomize.
- Implement Istio service mesh, ingress controllers, network policies, and GCP IAM for secure microservice communication.
- Monitor and optimize workloads with Prometheus, Grafana, Cloud Operations Suite, and GKE Autopilot insights.
- Collaborate with DevOps, security, and development teams to implement best practices in multi-tenant Kubernetes environments.
- Troubleshoot issues with containerized applications, networking, and scaling strategies.
- Collaborate with application, security, and platform teams to ensure optimized performance, cost control, and compliance.
- Provide architectural guidance, detailed design documentation, and technical enablement for internal and customer engineering teams.
Key Skills:
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 10+ years of experience in cloud infrastructure design, DevOps, or system architecture.
- Proven expertise in GCP infrastructure, GKE, and HPC workload architecture.
- Experience in optimizing HPC environments including batch scheduling, job queuing (e.g., Slurm), and shared/distributed storage.
- Strong understanding of Kubernetes internals, pod scheduling, autoscaling, and node management.
- Proficient in Infrastructure as Code (Terraform, Deployment Manager).
- Hands-on experience with Docker, Helm, Istio, and container security scanning tools (e.g., Trivy, Aqua).
- Experience integrating observability and monitoring tools for GKE.
- Strong proficiency in Terraform, Linux administration, and container orchestration tools.
- Fluent in English (written and verbal).
- Certification: Google Professional Cloud Architect (mandatory).
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Job Title: GCP Public Cloud Infrastructure Architect
Location: UK (Remote)
Duration: 6 Months (Extendable)
Employment Type: Inside IR35 Contract
B2B Roles & Responsibilities:
About the Role
We are seeking a highly skilled GCP Public Cloud Infrastructure Architect to lead cloud infrastructure design and deployment for enterprise and public sector clients in the UK. You will focus on architecting scalable, secure infrastructure, managing HPC (High-Performance Computing) workloads, and deploying containerized applications using Google Kubernetes Engine (GKE).
Key Responsibilities
- Architect and implement infrastructure solutions on Google Cloud for compute-intensive and enterprise-grade environments.
- Design and optimize HPC workloads leveraging GCP services like Compute Engine, Preemptible VMs, TPUs/GPUs, Filestore, and Parallel File Systems.
- Architect and manage GKE clusters (standard and autopilot), ensuring high availability, performance, and security.
- Develop and manage CI/CD pipelines using tools like Cloud Build, GitLab, ArgoCD, or Jenkins integrated with GKE.
- Automate deployment workflows and platform management using Terraform, Helm, and Kustomize.
- Implement Istio service mesh, ingress controllers, network policies, and GCP IAM for secure microservice communication.
- Monitor and optimize workloads with Prometheus, Grafana, Cloud Operations Suite, and GKE Autopilot insights.
- Collaborate with DevOps, security, and development teams to implement best practices in multi-tenant Kubernetes environments.
- Troubleshoot issues with containerized applications, networking, and scaling strategies.
- Collaborate with application, security, and platform teams to ensure optimized performance, cost control, and compliance.
- Provide architectural guidance, detailed design documentation, and technical enablement for internal and customer engineering teams.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 10+ years of experience in cloud infrastructure design, DevOps, or system architecture.
- Proven expertise in GCP infrastructure, GKE, and HPC workload architecture.
- Experience in optimizing HPC environments including batch scheduling, job queuing (e.g., Slurm), and shared/distributed storage.
- Strong understanding of Kubernetes internals, pod scheduling, autoscaling, and node management
- Proficient in Infrastructure as Code (Terraform, Deployment Manager).
- Hands-on experience with Docker, Helm, Istio, and container security scanning tools (e.g., Trivy, Aqua).
- Experience integrating observability and monitoring tools for GKE.
- Strong proficiency in Terraform, Linux administration, and container orchestration tools.
- Fluent in English (written and verbal).
- Certification: Google Professional Cloud Architect (mandatory).
Preferred Qualifications
- Hands-on experience with GPU/TPU workloads, Slurm, or Intel MPI/OpenMPI in cloud HPC environments.
- Experience deploying hybrid and multi-cloud solutions using Anthos or GCVE.
- Familiarity with CI/CD, Cloud Build, Artifact Registry, and security scanning tools.
- Familiarity with Anthos, GKE Autopilot, or hybrid/multi-cloud Kubernetes environments.
- Experience with GitOps workflows (ArgoCD, Flux).
- Exposure to workload identity, GCP Workload Identity Federation, and K8s RBAC.
- Consulting or client-facing experience in industries like life sciences, financial services, or manufacturing with HPC needs.