Google Cloud Platform Cloud Platform Engineer

Overview

Hybrid
$70 - $80
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

GCP
CI/CD
Cloud
SQL

Job Details

Senior Cloud Platform Engineer (Google Cloud Platform & Kubernetes)

Location: - Hartford, CT (3 days (Tue, Wed and Thursday) in the office and 2 remote)

Job Description

  • 12 months to start with potential to extend
  • Google Cloud Platform is a must, 3 ppl in Harford - 9-person team,
  • Interview: 2 rounds and possible 3rd, panel interviews with 2-3 CME s

Key Responsibilities

  • Architect, deploy, and maintain scalable data infrastructure in Google Cloud Platform with a focus on Cloud Composer (Airflow) and Google Kubernetes Engine (GKE).
  • Manage containerized workloads using Docker and Kubernetes, including lifecycle management, networking, monitoring, and troubleshooting.
  • Collaborate with data engineering teams to migrate traditional workloads to containerized platforms.
  • Implement and maintain CI/CD pipelines using tools like Jenkins, Git, and Terraform.
  • Ensure observability and reliability of data pipelines and containerized services using Prometheus, Grafana, and other monitoring tools.
  • Apply best practices for container security, image vulnerability scanning, and configuration management.
  • Support both open-source and Google-native technologies that interact with Composer and GKE, such as Cloud SQL, Big Query, Pub/Sub, and Artifact Registry.
  • Support day-to-day platform operations.

Required Qualifications

  • 5+ years of experience with container orchestration platforms (Kubernetes, GKE, AKS, EKS).
  • 5+ years of hands-on experience with Google Cloud Platform, including IAM, networking, and resource management.
  • 5+ years of experience deploying and managing Docker containers in production environments.

Preferred Qualifications

  • Experience with Helm, Terraform, and Jenkins for deployment automation.
  • Exposure to SQL, NoSQL, and CloudSQL databases.
  • Experience migrating legacy applications to containerized platforms.
  • Knowledge of open-source data tools and Google Cloud services that support large-scale data environments.
  • Strong understanding of Kubernetes architecture, including control plane components and networking.
  • Experience with Python (5+ years), especially in the context of automation and data workflows.
  • Experience with Composer (Airflow) DAG development and orchestration.
  • Proficiency in Linux-based infrastructure and scripting languages (Bash, Python; Java and GoLang are a plus).
  • Familiarity with container monitoring, logging, and troubleshooting tools.
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