Remote GCP Cloud Engineer - GKE, Terraform & CI/CD

BairesDev

United States

Remote

MXN 1,653,000 - 2,754,000

Full time

5 hours ago
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Benefits offered by this job

Remote work
USD compensation
Home setup

Job summary

BairesDev is seeking a GCP Cloud Engineer to design and operate robust infrastructure on Google Cloud Platform. You will ensure seamless integration of GCP-native services and Kubernetes, delivering high-performance, scalable solutions that empower engineering teams to move fast.

Join a fully remote role with excellent compensation in USD or local currency. You’ll work with the global Top 1% of talent, maintain production systems, and collaborate across teams to optimize cloud architectures and

Qualifications

  • 4+ years in Cloud Engineering, DevOps, or Site Reliability Engineering.
  • Proven expertise designing, deploying, and managing infrastructure on Google Cloud Platform.
  • Hands-on experience with Terraform and Kubernetes workloads.
  • Advanced English proficiency.

Responsibilities

  • Architect and maintain production-grade GKE clusters and containerized environments.
  • Automate cloud resource provisioning and management using Terraform.
  • Streamline deployments by building and optimizing CI/CD pipelines with Cloud Build.
  • Enhance system visibility and reliability through Stackdriver monitoring.
  • Collaborate with development teams to optimize apps for the Google Cloud ecosystem.

Skills

GCP Expertise
GKE Clusters
Terraform IaC
CI/CD with Cloud Build
English Proficiency
DevOps/SRE

Tools

Terraform
Cloud Build
GKE
Stackdriver

Job description

BairesDev is seeking a GCP Cloud Engineer to design and operate robust infrastructure on Google Cloud Platform. You will ensure seamless integration of GCP-native services and Kubernetes, delivering high-performance, scalable solutions that empower engineering teams to move fast.

Join a fully remote role with excellent compensation in USD or local currency. You’ll work with the global Top 1% of talent, maintain production systems, and collaborate across teams to optimize cloud architectures and

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