Rackspace Technology

Senior GCP DevOps Engineer

Rackspace Technology
Gurugram Not disclosed
21 hours ago
On-Site
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About the job

We are seeking a highly skilled Senior GCP DevOps Engineer (L3) to design with 7+ years of experience in implement and manage cloud-native solutions on Google Cloud Platform (GCP). This role involves leading DevOps practices, automating infrastructure, ensuring scalability, and mentoring junior engineers. This role requires professionals having implementation and migration experience from scratch. Technical Expertise: • Proficient knowledge of Cloud Platform Products in Cloud, preferably multi cloud. • Proficient skills in leveraging CI and CD tools to automate testing and deployment. • Architect, deploy, and maintain scalable infrastructure on GCP (Compute Engine, GKE, Cloud Functions, Cloud Run). • Implement Infrastructure as Code (IaC) using Terraform, Deployment Manager etc. • Proficient skills in at least one of the following languages: Python, Linux, Shell scripting. • Expertise of designing, building, implementing, analysing, and troubleshooting distributed, highly available systems. • Expertise of at least one configuration management system such as Chef, Ansible, Puppet or any other such tools. • Understanding of services and protocols, configuration, management, and troubleshooting of hosting environments, including web servers, databases, caching, and database services. • Knowledge in the application of current and emerging network software and hardware technology and protocols. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Requirements

  • GCP
  • DevOps
  • Infrastructure as Code
  • Python
  • Linux
  • Shell Scripting

Preferred Technologies

  • GCP
  • DevOps
  • Infrastructure as Code
  • Python
  • Linux
  • Shell Scripting

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