Staff Cloud Platform Engineer

Insight•Chandler, AZ

13h•Hybrid

About The Position

Identify, evaluate, and recommend cloud technologies and services to improve operational efficiency, leveraging Google Professional Solutions and Developer tools. Design and lead cloud foundations and robust GCP solutions, including networking, security, monitoring, logging, and organizational structure to support scalable cloud operations. Building and deploying cloud components using Terraform, coupled with continuous integration using GitHub Actions or Bitbucket Pipelines. Monitoring solutions with Datadog and New Relic to ensure optimal performance and reliability. Leading the architecture of disaster recovery solutions for large-scale applications hosted on the cloud, ensuring business continuity. Database migration both within Google Cloud Platform and across different cloud providers. Conduct extensive work with Puppet and Chef, automating infrastructure deployment and configuration management for enhanced efficiency. Oversee the migration of a client’s 2PB data from AWS to GCP, managing transitions from S3 to GCS and EFS to Google File Store. Position is based out of Chandler, Arizona HQ but telecommuting is permitted on a case-by-case basis.

Requirements

Bachelors degree in Information Technology, Computer Science, or closely related. Employer will accept a foreign degree or evaluation based on education and progressive work experience if in the same field.
36 months of experience in job offered, Staff Cloud Infrastructure Engineer, Senior Devops Engineer, Senior Cloud and Data Architect, Architect Lead - Vice President, Engineer Customer Support, or closely related.
Experience providing cloud and hybrid-cloud infrastructure solutions on Google Cloud Platform (GCP).
Experience in cloud architecture, artificial intelligence, and large-scale data and infrastructure platforms across Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure.
Experience developing Artificial Intelligence applications in Healthcare and Hospitality industry
Experience developing code related to Data Analytics, Machine Learning and Artificial Intelligence using Python.
Experience building and managing hybrid-cloud and containerized solutions using Kubernetes.
Experience developing and maintaining fully automated CI/CD pipelines and supporting cloud-based disaster recovery and business continuity solutions for enterprise applications.
Experience building data pipelines to support large-scale data processing, analytics, and machine learning workloads.
Virtualized environments, systems monitoring, capacity planning, and performance tuning, networking, VPNS, and compute infrastructure.
Migrating complex workloads from on-prem to the cloud
Experience using tools: Terraform, Ansible, Chef, Puppet, Packer, Jenkins, Github Actions, Gitlab Pipeline, Kubernetes, Docker, VMware, and Hyper-V.

Responsibilities

Identify, evaluate, and recommend cloud technologies and services to improve operational efficiency, leveraging Google Professional Solutions and Developer tools.
Design and lead cloud foundations and robust GCP solutions, including networking, security, monitoring, logging, and organizational structure to support scalable cloud operations.
Building and deploying cloud components using Terraform, coupled with continuous integration using GitHub Actions or Bitbucket Pipelines.
Monitoring solutions with Datadog and New Relic to ensure optimal performance and reliability.
Leading the architecture of disaster recovery solutions for large-scale applications hosted on the cloud, ensuring business continuity.
Database migration both within Google Cloud Platform and across different cloud providers.
Conduct extensive work with Puppet and Chef, automating infrastructure deployment and configuration management for enhanced efficiency.
Oversee the migration of a client’s 2PB data from AWS to GCP, managing transitions from S3 to GCS and EFS to Google File Store.