Google Cloud Engineer IV

1 Month ago • 4-7 Years • DevOps • $105,100 PA - $179,630 PA

Job Summary

Job Description

Rackspace Technology seeks an experienced Google Cloud Engineer IV to design and implement GCP solutions. The role involves working directly with customers, developing innovative solutions, analyzing problems, and mentoring junior engineers. Responsibilities include owning key deliverables, collaborating on optimal solutions, delivering solutions at scale, creating frameworks and best practices, and presenting these in various forums. The ideal candidate will have proven experience in multiple GCP deployments, strong programming skills (Python, Java, Go), expert Linux administration, and experience with Terraform, CI/CD, microservices, and Kubernetes. The position requires in-depth understanding of IP networking and a willingness to travel.
Must have:
  • GCP design & implementation
  • DevOps toolchain experience
  • Python, Java, Go programming
  • Expert Linux admin skills
  • Terraform, CI/CD expertise
  • Kubernetes & Microservices
  • IP networking knowledge
Good to have:
  • Multi-cloud architecture
  • Agile experience

Job Details

Rackspace Technology is a leading provider of expertise and managed services across all the major public and private cloud technologies. We’ve evolved Fanatical Support to encompass the entire customer journey — providing Fanatical Experience™ from first consultation to daily operations. Our passionate experts combine the power of proactive, always-on service and expertise with best-in-class tools and automation to deliver technology when and how our customers need it.
 
As part of our commitment to our customers, we are dedicated to helping enable creative, automation-based solutions for all sizes of businesses and require an experienced Cloud Engineer to join our team.
 
The ideal candidate will have several years’ experience with Google Cloud design and implementation. You will be working in a dynamic environment and encouraged to come up with innovative solutions to technical problems, analyze and prioritize problems, putting users at the heart of every decision.
 
You will ideally have proven experience in multiple GCP deployments. Your engagements will see you working directly with customers and prospects. You will have confidence in knowing your skills (and limitations), you are calm and collected under pressure and always available to mentor the less experienced. Your colleagues see you as a good team player who is keen to share knowledge as well as to listen and learn from others.
 
Work Location: Remote

Key Responsibilities

    • Own and complete key tasks and deliverables, and collaborate with others to define and implement optimal, complete solutions based on stake holder’s needs. 
    • Deliver solutions that solve for new levels of complexity, scale, and performance, and in turn, enable breakthrough innovations. Create and apply frameworks, methods, best practices, and artifacts that deliver prescriptive guidance to customers, and publish and present the min large forums and across various media platforms. 
    • Technical depth and hands-on implementation experience of various practices and tools in the DevOps toolchain. 
    • Comfortable rolling up their sleeves to design and code modules for infrastructure, application, and processes. 
    • Design, Build and maintain cloud-based application that uses Google Kubernetes Engine

Qualifications

    • Security in GCP
    • Networking in GCP
    • GKE and overall compute in GCP, including GCE
    • GCP Storage - Spanner, Cloud SQL, MemoryStore, GCS, etc.
    • Automation and operations in GCP
    • 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.

    • Discover your inner Racker: Racker Life
      #LI-JR1
      #LI-Remote

The following information is required by pay transparency legislation in the following states: CA, CO, HI, NY, and WA. This information applies only to individuals working in these states.

•The anticipated starting pay range for Colorado is: $105,100 - $154,110
•The anticipated starting pay range for the states of Hawaii and New York (not including NYC) is: $111,800 - $164,010
•The anticipated starting pay range for California, New York City and Washington is: $122,500 - $179,630

Unless already included in the posted pay range and based on eligibility, the role may include variable compensation in the form of bonus, commissions, or other discretionary payments. These discretionary payments are based on company and/or individual performance and may change at any time. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. 

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