Opening For - GCP Devops Engineer

SP Staffing; Henderson-Massey; On-site; NZD 22,000 - 33,000; Full time

Job summary

SP Staffing is seeking an experienced GCP DevOps Engineer to design, build and deploy infrastructure on Google Cloud Platform using Terraform and Infrastructure-as-Code principles. You will work with Kubernetes, Docker, Helm, and cloud automation to deliver resilient platforms.

The role requires strong CI/CD expertise with Jenkins, GitHub and SonarCube, plus a solid grounding in Agile practices and Python scripting for automation.

Qualifications

• Experience in design, develop and deploy GCP resources as Infra-as-code using Terraform.
• Strong CI/CD knowledge with Jenkins, GitHub and SonarCube for code quality.
• Terraform and Sentinel familiarity is a plus.
• Familiarity with Agile practices and frameworks.
• Good knowledge of Kubernetes and container technologies (Docker, Helm) and related tooling.

Skills

GCP DevOps

Terraform

Kubernetes

Docker

Helm

Python

CI/CD

Jenkins

GitHub

SonarCube

Sentinel

Tools

Terraform

Sentinel

Jenkins

GitHub

SonarCube

Kubernetes

Helm

Docker

Python

Job description

Job Description

Location: Pan India

Experience : 5 Yrs- 20 yrs

Interview Mode:Virtual Interview

Interview Process: Technical & Managerial / HR round

Job Description :

• Experience in design, develop and deploy GCP resources as Infra-as-code in Google Cloud Platform. Delivered platforms based on the principles of Infrastructure as Code: Terraform

• Strong Knowledge in Automation frameworks, CI/CD process and tools (Jenkins, GitHub, Sonar Cube etc.) is a must

• Strong Knowledge in Terraform and Sentinel is a plus

• Familiarity with Agile Practices and Frameworks

• Good knowledge of Kubernetes

• Container technologies for building and deploying applications: Docker, Helm, Kubernetes

• Agile development practices - TDD, BDD, automated builds, continuous integration, tooling to test code quality

Key word: (Matching minimum 3 words)

• GCP DevOps
• Terraform
• Kubernetes, CICD Pipeline
• Docker, GitHub
• Python