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Job Type

Full Time

Job Description

Job Title:

Experience:

Location:

Employment Type:

Job Overview:

GCP Cloud Engineer

Key Responsibilities:

  • Design, implement, and manage workloads using

    Cloud Run, Cloud Functions

    , and

    GKE

    .
  • Configure and optimize

    Cloud Storage, Cloud SQL, BigQuery

    , and

    Cloud Spanner

    for scalability and reliability.
  • Manage networking components such as

    VPC, Load Balancing, and Cloud NAT

    for secure and efficient connectivity.
  • Implement

    IAM

    roles, policies, and

    Secret Manager

    for access control and security compliance.
  • Set up monitoring and observability using

    Cloud Logging and Monitoring

    .
  • Build and automate CI/CD pipelines using

    Cloud Build

    and manage containers via

    Artifact Registry

    .
  • Support

    Vertex AI Pipelines

    for ML model training and deployment.
  • Manage and optimize developer environments using

    Cloud Workstations

    .
  • Collaborate with developers, data engineers, and ML teams to ensure robust infrastructure delivery.

Required Skills & Experience:

  • Strong hands-on experience with

    GCP core services

    and

    infrastructure automation

    .
  • Proficiency with

    Terraform / Deployment Manager

    (preferred).
  • Experience with

    Kubernetes (GKE)

    , containerization, and microservices architecture.
  • Knowledge of

    CI/CD

    ,

    DevOps

    , and

    monitoring best practices

    .
  • Familiarity with

    AI/ML workflows

    using

    Vertex AI

    .
  • Excellent troubleshooting, documentation, and communication skills.

Good to Have:

  • GCP Professional Cloud Architect or DevOps Engineer Certification.
  • Experience integrating GCP with hybrid or multi-cloud environments.

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