Google Professional Cloud Architect
Posted 2 weeks ago by Ubique Systems on Linkedin
Job Description: The Google Professional Cloud Architect role requires a seasoned professional with over 10 years of experience in cloud infrastructure design and DevOps, specifically within GCP environments. The position demands expertise in HPC workload architecture and Kubernetes, alongside proficiency in Infrastructure as Code tools. A Google Professional Cloud Architect certification is mandatory, with additional preferred qualifications in hybrid and multi-cloud solutions.
Key Responsibilities:
- Design and optimize cloud infrastructure for HPC environments.
- Implement and manage Kubernetes internals, including pod scheduling and autoscaling.
- Utilize Infrastructure as Code tools like Terraform for deployment.
- Integrate observability and monitoring tools for GKE.
- Manage container orchestration and security scanning tools.
- Consult with clients in industries requiring HPC solutions.
Skills Required:
- 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.
- Strong understanding of Kubernetes internals and container orchestration.
- Proficient in Infrastructure as Code (Terraform, Deployment Manager).
- Hands-on experience with Docker, Helm, and container security tools.
- Fluent in English (written and verbal).
- Certification: Google Professional Cloud Architect (mandatory).
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
- 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.
Negotiable
London Area, United Kingdom
Undetermined
Undetermined
IT
Not Specified
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Job Description: The Google Professional Cloud Architect role requires a seasoned professional with over 10 years of experience in cloud infrastructure design and DevOps, specifically within GCP environments. The position demands expertise in HPC workload architecture and Kubernetes, alongside proficiency in Infrastructure as Code tools. A Google Professional Cloud Architect certification is mandatory, with additional preferred qualifications in hybrid and multi-cloud solutions.
Key Responsibilities:
- Design and optimize cloud infrastructure for HPC environments.
- Implement and manage Kubernetes internals, including pod scheduling and autoscaling.
- Utilize Infrastructure as Code tools like Terraform for deployment.
- Integrate observability and monitoring tools for GKE.
- Manage container orchestration and security scanning tools.
- Consult with clients in industries requiring HPC solutions.
Skills Required:
- 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.
- Strong understanding of Kubernetes internals and container orchestration.
- Proficient in Infrastructure as Code (Terraform, Deployment Manager).
- Hands-on experience with Docker, Helm, and container security tools.
- Fluent in English (written and verbal).
- Certification: Google Professional Cloud Architect (mandatory).
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
- 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.
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