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Google Cloud Engineer

Job in Salt Lake City, Salt Lake County, Utah, 84101, USA
Listing for: Robert Half
Full Time position
Listed on 2026-08-06
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Systems Engineer, IT Infrastructure
Job Description & How to Apply Below

Google Cloud Engineer

We are looking for a Google Cloud Engineer to support secure, scalable, and reliable cloud environments for teams building advanced technology solutions in Salt Lake City, Utah. This is a Contract position focused on strengthening production infrastructure, improving automation, and enabling high-performing engineering and data workflows on Google Cloud. The ideal candidate brings deep experience with a systems administration or applications background compared to only Dev Ops experience.

Responsibilities:

• Architect, deploy, and support production services on Google Cloud with an emphasis on resilience, security, performance, and cost efficiency.

• Build and maintain infrastructure components across compute, storage, databases, messaging, serverless platforms, and Kubernetes-based environments.

• Develop and enhance CI/CD pipelines and automation workflows to provision, validate, and release infrastructure and application changes safely.

• Implement Infrastructure as Code using Terraform and establish guardrails that reduce risk, improve consistency, and support controlled change management.

• Strengthen cloud foundations by defining and applying standards for identity access, private networking, firewall controls, secrets management, and data protection.

• Improve platform observability through monitoring, logging, tracing, and cost reporting, and use insights to optimize service health and operational visibility.

• Respond to incidents, investigate root causes, refine alerting and service objectives, and improve backup, recovery, and capacity planning practices.

• Partner with security, platform, data, and application teams to review architecture decisions, operational readiness, and risk before production launches.

• Guide engineering teams on Google Cloud best practices, sustainable operational processes, and effective use of automation across the delivery lifecycle.

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