Google Cloud Platform DevOps Engineer

Overview

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

Skills

Google Cloud Platform
Google Cloud
DevOps
GCP
CI/CD
DevSecOps
Cloud Computing
Cloud Security
Capacity Management
Python
Kubernetes
Cloud Storage
Ansible
Bash
Continuous Improvement
Virtual Private Cloud
Good Clinical Practice
Orchestration
Dragon NaturallySpeaking
Configuration Management
Jenkins
GitLab
Leadership
Load Balancing
Management
Progress Chef
Puppet
Terraform
Computer Networking
Continuous Integration
Data Processing
DNS
Continuous Delivery

Job Details

Job Title: Google Cloud Platform DevOps Engineer
Location: Chicago, IL
Job Type: Long term Contract
Job description::
* Capability to drive innovative solutions including Self-healing infrastructure and integrating DevOps capabilities across public and distributed cloud ecosystems.
* Able to prepare and present accurate and timely information to senior leadership regarding technical capabilities and maturity, up to and including the McDonald’s Senior Leadership Team.
* Experience deploying Edge Computing Frameworks: Understanding of edge computing architectures, where data processing and analysis occur closer to the data source rather than in a central cloud, and how GDC enables edge processing.
* Experience with Kubernetes, container orchestration, and containerized applications in the edge environment, including handling workloads across edge devices and the cloud.
* Familiarity with Google Cloud Platform networking services such as VPC, Cloud Load Balancing, Cloud DNS, Cloud CDN, and their configurations for both on-prem and cloud integration.
* Strong experience being responsible for Infrastructure Automation & Management including:
* Infrastructure as Code (IaC): Proficiency in using tools like Terraform, Google Cloud Deployment Manager, or Ansible to automate the deployment of infrastructure resources both on-premises and in the cloud.
* Configuration Management: Experience with configuration management tools such as Puppet, Chef, or Ansible to ensure proper configuration of both cloud and on-prem infrastructure.
* CI/CD Pipelines: Knowledge of CI/CD processes and tools such as Jenkins, Google Cloud Build, or GitLab to automate deployments and integrate infrastructure updates across both environments.
* Expertise in Google Kubernetes Engine (GKE) for leading containerized applications and services across both on-prem and cloud environments.
* Solid understanding on standard processes handling multi-cluster environments and orchestrating workloads across GKE clusters and on-premises Kubernetes clusters, enabling consistent deployment and scaling of applications.

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