Cloud Platform Engineer / Google Cloud Platform / Remote

Remote in Remote, AZ, US • Posted 16 hours ago • Updated 4 hours ago
Contract W2
On-site
$50 - $70/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Medical Devices
  • Management
  • DevOps
  • Continuous Integration
  • Continuous Delivery
  • GitHub
  • Acceptance Testing
  • Artificial Intelligence
  • Machine Learning (ML)
  • Analytics
  • Workflow
  • Kubernetes
  • Manufacturing
  • Google Cloud Platform
  • Google Cloud
  • Cloud Computing
  • Computer Networking
  • Terraform
  • Collaboration

Summary

A leading medical device company is seeking a Cloud Platform Engineer to support large-scale data initiatives within a manufacturing environment. This role focuses on building and scaling infrastructure in Google Cloud Platform, with an emphasis on Terraform, DevOps practices, and enabling data-driven teams across the organization. The position is fully remote within the U.S.

This opportunity is centered around a high-impact initiative tied to manufacturing traceability and product performance analytics. You'll play a key role in enabling teams that are actively improving product reliability using real-world manufacturing data. The environment is fast-moving and collaborative, where the priority is building flexible, reusable infrastructure that empowers data and analytics teams to experiment, iterate, and deploy quickly. This is an ideal role for someone who enjoys working across multiple teams, building foundational systems, and operating in an environment where not everything is fully defined yet.

Contract Duration: 6 - 9 Months

Required Skills & Experience
  • Strong experience with Google Cloud Platform (Google Cloud Platform) services and architecture
  • Hands-on expertise with Terraform, including building and maintaining modules
  • Experience working with Terraform Cloud or similar remote state management tools
  • Solid background in DevOps and cloud platform engineering
  • Experience developing and supporting CI/CD pipelines, preferably with GitHub Actions
  • Familiarity with Cloud Run or container-based workload execution in Google Cloud Platform
  • Experience designing and implementing cloud landing zones or environment templates
  • Strong understanding of infrastructure as code best practices
  • Ability to collaborate closely with data and analytics teams in an enablement capacity
  • Experience working across multiple environments such as development, UAT, and production
Desired Skills & Experience
  • Exposure to BigQuery, Dataplex, or other Google Cloud Platform data ecosystem tools
  • Familiarity with Gemini or other Google Cloud Platform AI/ML tooling
  • Experience supporting data platforms or analytics-focused teams
  • Understanding of data ingestion and processing workflows
  • Exposure to Kubernetes in other environments
  • Background in manufacturing or highly data-driven industries
  • Ability to operate effectively in fast-paced, evolving environments
What You Will Be Doing
Tech Breakdown
  • 70% Google Cloud Platform (Cloud Run, networking, APIs)
  • 30% Terraform / Infrastructure as Code
Daily Responsibilities
  • 75% Hands On
  • 10% Process Alignment and Standards
  • 15% Team Collaboration
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 880055
  • Posted 16 hours ago
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