GCP Cloud Engineer

I8IS INC.

  • Sunnyvale, CA
  • 2 days ago

    Highlights

    Roles & Responsibilities: • Architect and deliver GCP workloads using Compute Engine, GKE, Cloud Run, Cloud Storage, Cloud SQL/Spanner, Pub/Sub. • Design scalable networking (VPCs, subnets, NAT, load balancers, Private Service Connect) and interconnectivity.

    Numbers & Facts

    LocationSunnyvale, CA

    Description

    Title: GCP Cloud Engineer 
    Location: Sunnyvale, CA/Onsite
    Duration: Full Time
    Client: Confidential
    Experience required: 8- 10 years of experience
    Interview Mode: Video
     
    Job Description
    Must Have Technical/Functional Skills:
    Compute Engine;  Cloud Run;  App Engine;  Cloud Functions;  Cloud Storage;  Cloud SQL;  Spanner;  BigQuery;  Dataflow;  Dataproc;  Composer;  Pub/Sub; Terraform;  Helm;  Cloud Build;  Artifact Registry;  Git (GitHub/GitLab);  Docker; Python;  Go;  Bash;  SQL;  Kubernetes fundamentals; VPC;  subnets;  Cloud NAT;  Load Balancing;  Private Service Connect;  Cloud Armor (WAF);  VPN/Interconnect;  IAP;  VPC Service Controls;  Org Policies;  KMS;  Secret Manager;  IAM; Cloud Monitoring;  Cloud Logging;  Error Reporting;  Trace;  Profiler
    Roles & Responsibilities:
    •              Architect and deliver GCP workloads using Compute Engine, GKE, Cloud Run, Cloud Storage, Cloud SQL/Spanner, Pub/Sub.
    •              Build infrastructure as code and CI/CD (Terraform, Cloud Build, Git) with environment promotion and guardrails.
    •              Implement identity and security controls (IAM, service accounts, Secrets Manager, KMS, org policies, VPC Service Controls).
    •              Design scalable networking (VPCs, subnets, NAT, load balancers, Private Service Connect) and interconnectivity.
    •              Establish observability and SRE practices (Cloud Monitoring, Logging, Error Reporting; SLIs/SLOs, alerting, runbooks).
    •              Develop data platforms and pipelines with BigQuery, Dataflow/Beam, Composer/Airflow, Dataproc; batch and streaming.
    •              Automate operations with Cloud Functions/Run and APIs; drive reliability, performance, and cost optimization.
    •              Lead incident response and postmortems; mentor engineers and document standards.
     

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