Google Cloud Platform DevOps Engineer

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Apache Maven
Cloud Computing
Collaboration
Continuous Delivery
Continuous Integration
Continuous Integration and Development
Docker
Git
Good Clinical Practice
DevOps
Google Cloud
Google Cloud Platform
Gradle
Jenkins
Linux
Management
Microsoft Azure
Python
Terraform
UCD
Unix

Job Details

Role: Google Cloud Platform DevOps Engineer

Location: Concord, CA Local candidates only


Minimum requirements:

4+ years of build-deploy automation and configuration experience within the Linux and Unix environment
4+ years of Gradle or Maven experience
4+ years of experience troubleshooting environments across the entire architecture (i.e. applications to infrastructure)
4+ years of experience with Linux OS environment
3+ years of Python experience
3 + years of experience with server administration and job creation using Jenkins Continuous Integration server
5+ years experience with DevOps practices in an enterprise environment including CI/CD pipelines and DevOps-focused collaboration
3+ years experience with Terraform including module engineering, state management, and execution in an enterprise environment
5+ years proficient to advanced experience with IaC (infrastructure as code) processes and tooling in an enterprise environment
2+ years experience with Google Cloud Platform (Google Cloud Platform) including management of Google Cloud Platform resources with Terraform in an enterprise environment
3+ years proficient to advanced experience with git/github
Nice to have:
1+ years experience with Terraform Cloud/Terraform Enterprise in an enterprise environment
2+ years experience supporting AIML solutions in an enterprise environment (Google Cloud Platform preferred but Azure also useful)
1+ years experience with Docker/container image development
Understanding of Urban Code Deploy(UCD) or Harness CD tools
Associate cloud engineer certification for Google Cloud Platform (or better Google Cloud Platform certification)

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.