Overview
Remote
$100,000 - $160,000
Full Time
Skills
GCP
Google Cloud
Bamboo
Bash
Cloud Architecture
Cloud Computing
Cloud Storage
Firewall
GCS
Google Cloud Platform
Java
Jenkins
Kubernetes
Linux Administration
Microservices
Python
SQL
Scripting
Terraform
Testing
Virtual Private Network
Workflow
GitLab
Job Details
Hello,
Role: Sr Google Cloud Platform Engineer
Locations: Remote
Qualifications
- Security in Google Cloud Platform
- Networking in Google Cloud Platform
- GKE and overall compute in Google Cloud Platform, including GCE
- Google Cloud Platform Storage - Spanner, Cloud SQL, Memory Store, GCS, etc.
- Automation and operations in Google Cloud Platform
- Google Cloud Platform Observability, GKE Observability and Google Cloud Platform Logs/Metrics/Traces.
- Datadog, New Relic and Synthetic Testing.
- Bachelor s degree, or equivalent experience, in Computer Science, Engineering. or a related field.
- 4+years of experience as a technical specialist.
- 3+years of hands-on experience of programming in languages with the following Python, Java, and GO.
- Subject Matter Expert level practical Linux administration skills in a Cloud or Virtualized environment.
- Expert level familiarity with automating cloud native technologies, deploying applications, and provisioning infrastructure using bash, python, or GO.
- Expert Knowledge of the primary Google services (compute engine, load balancing, Cloud Storage)
- Experience with automating cloud native technologies, deploying applications, and provisioning infrastructure.
- Expert level knowledge and Hands-on experience with Infrastructure as Code utilizing Terraform.
- Experience developing cloud native CI/CD workflows and tools, such as Jenkins, Bamboo, TeamCity, Cloud Build (Google) and/or GitLab.
- Hands-on experience with microservices and distributed application architecture utilizing containers, Kubernetes, and/or serverless technology.
- Experience with seamless/automated build scripts used for release management across all environments.
- Experience with the full software development lifecycle and delivery using Agile practices.
- In depth understanding of IP networking, VPN's, DNS, load balancing and firewalls.
- Willingness to travel to customer locations as needed.
- Experience with multi-cloud architecture and deployment.
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.