GCP Cloud Capacity Analyst

Key Responsibilities

• Resource Forecasting & Modelling: Analyze historical usage and peak business traffic to forecast future GCP compute (CPU, Memory), storage (Cloud Storage, Bigtable).
• GCP Quota & Reservation Management: Monitor, request, and adjust GCP regional and project-level quotas. Manage Committed Use Discounts (CUDs) and Compute Engine reservations to guarantee hardware availability for critical workloads.
• Supply Chain & Regional Availability: Partner with Google Account teams and internal engineering to navigate GCP zonal/regional capacity constraints, ensuring high availability and disaster recovery readiness.
• Cost Optimization & FinOps Collaboration: Identify overprovisioned instances, idle resources, and inefficient storage classes. Recommend right-sizing, spot VMs, or architectural shifts to maximize unit economics.
• Reporting & Dashboards: Build automated capacity dashboards using GCP operations suite (Cloud Monitoring, BigQuery, Looker) to track capacity headroom, resource health, and growth trends.

Required Qualifications

• Education & Experience: Bachelors degree in Computer Science, Systems Engineering, or equivalent; 3–5+ years managing cloud infrastructure, capacity planning, or cloud operations (GCP preferred).
• GCP Core Knowledge: Strong expertise in Compute Engine, (VMs/Reservations), Persistent Disk/Cloud Storage, and BigQuery.
• Data & Analytics: Proficiency with BigQuery, SQL, Python, or R for time-series forecasting, trend analysis, and capacity modelling.
• Tools & Monitoring: Hands-on experience with Cloud Monitoring (Stackdriver), Looker/Grafana, Terraform, and cloud cost management platforms (e.g., GCP Cost Management, Cloud Health).
• Certifications (Preferred): Google Cloud Certified Professional Cloud Architect, GCP Associate Cloud Engineer, or FinOps Certified Practitioner (FCP).