GCP Cloud Platform Architect — DevOps & IaC (Intermediate)

University Of Michigan; Ann Arbor (MI); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Benefits package

Training & career development

Job summary

University of Michigan invites applicants for a DevOps Engineer role focused on enabling rapid, secure deployment of code in a cloud‑native environment. The position emphasizes self‑service infrastructure, IaC, and strong collaboration with engineering teams to improve deployment velocity.

The role requires experience in cloud platforms, automation, and coding in Python or Go, with a hybrid work model and on‑call responsibilities.

Qualifications

• Bachelor's Degree or equivalent combination of education and experience.
• 5+ years of IT related experience.
• 3+ years in a technical role focused on cloud‑native environments and automation.
• Cloud Competency: Practical experience deploying and managing services within a public cloud.
• Coding Proficiency: Strong ability in Python, Go, or similar for automation and internal tooling.

Responsibilities

• Cloud Enablement: Drive migration and evolution of applications within the public cloud (GCP), focusing on GKE, VPC design, and IAM.
• Developer Platform Engineering: Build self‑service infrastructure tools for provisioning environments and deploying code with minimal friction.
• Infrastructure as Code (IaC): Architect and maintain reproducible environments using Terraform and GitOps workflows.
• Vendor Application Stewardship: Provide stable hosting for vendor‑provided systems and ensure uptime and maintenance to unblock teams.

Skills

Cloud

Python

Go

Automation

DevOps

Education

Bachelor's Degree

Tools

GCP

Terraform

GitOps

Docker

Job description

University of Michigan invites applicants for a DevOps Engineer role focused on enabling rapid, secure deployment of code in a cloud‑native environment. The position emphasizes self‑service infrastructure, IaC, and strong collaboration with engineering teams to improve deployment velocity.

The role requires experience in cloud platforms, automation, and coding in Python or Go, with a hybrid work model and on‑call responsibilities.