Senior DevOps Engineer (GCP)

New
H
HelpwareCloud Data Infrastructure
Argentina / Brazil / MexicoFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English (B2+ / Upper-Intermediate or higher)
Experience
5+ years
Required Skills
PythonBashGCPKubernetesCI/CDTerraformBigQuery

Requirements

  • 5+ years of experience in a DevOps Engineering role with significant hands-on GCP experience.
  • Strong commercial experience building and operating data infrastructure on GCP.
  • Hands-on experience with BigQuery, Dataflow, Pub/Sub, and Cloud SQL.
  • Advanced experience with Terraform, including infrastructure for GCP data services, networking, and deployments.
  • Strong understanding of GCP networking, including VPCs, subnets, firewall rules, and private connectivity.
  • Proven experience designing and implementing large-scale GCP solutions.
  • Strong problem-solving skills and the ability to design robust and reliable technical solutions.
  • Excellent communication and collaboration skills.
  • English language proficiency: B2+ / Upper-Intermediate or higher.

Responsibilities

  • Build and maintain highly available and cost-efficient cloud data infrastructure on Google Cloud Platform (GCP) and Kubernetes.
  • Work extensively with BigQuery, Dataflow, Pub/Sub, and Cloud SQL.
  • Develop and maintain Terraform configurations for GCP data services, networking, and deployments.
  • Manage networking and deployment configurations for GCP data platform components.
  • Design and maintain advanced CI/CD pipelines for data services, focusing on quality, security, and efficiency.
  • Establish monitoring and observability across data pipelines and infrastructure.
  • Troubleshoot complex data infrastructure and production issues and proactively identify potential risks.
  • Implement cloud security best practices, including vulnerability scanning and threat modeling.
  • Collaborate with application and data engineering teams to establish and improve operational standards.
  • Support ongoing GCP migration initiatives by designing scalable, secure, and cost-effective infrastructure.
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