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Senior GCP DevOps Engineer

Jobgether

Remote

IDR 1.340.482.000 - 2.010.724.000

Full time

Yesterday
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Job summary

A technology hiring platform is seeking a GCP DevOps Engineer for a remote position. The role involves leveraging Google Cloud Platform to enhance cloud operations and improve deployment processes. Candidates should have over 6 years of DevOps experience and 3 years with GCP, along with expertise in CI/CD, Infrastructure as Code, and containerization technologies. Flexible hours and remote work opportunities are offered as part of this role.

Benefits

Flexible work hours
Opportunity to work from anywhere
Access to professional development resources
Support for mental health and wellness initiatives

Qualifications

  • 6+ years of experience in DevOps or Cloud Engineering.
  • 3+ years of hands-on experience with Google Cloud Platform (GCP).
  • Strong expertise in GCP services, including compute and storage solutions.

Responsibilities

  • Design and implement CI/CD pipelines using tools like Jenkins and GitLab CI.
  • Manage cloud resources using Infrastructure as Code (IaC) tools such as Terraform.
  • Utilize GCP services like Compute Engine, GKE, Cloud Functions, and more.

Skills

DevOps practices
Google Cloud Platform (GCP)
CI/CD pipelines
Infrastructure as Code (IaC)
Containerization (Docker, Kubernetes)
Scripting (Python, Bash, Go)

Tools

Jenkins
GitLab CI
Terraform
Stackdriver
Grafana
Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a GCP DevOps Engineer - REMOTE. In this role, you will play a crucial part in leveraging Google Cloud Platform to enhance our cloud operations. Your expertise in DevOps practices will drive efficiency and improve deployment processes while ensuring the highest security standards. You will collaborate with cross-functional teams to build scalable and resilient infrastructure. With your experience, you will help shape the cloud strategy and deliver innovative solutions that will impact the company's growth and technological advancement.

Accountabilities
  • Design and implement CI/CD pipelines using tools like Jenkins and GitLab CI.
  • Manage cloud resources using Infrastructure as Code (IaC) tools such as Terraform.
  • Utilize GCP services like Compute Engine, GKE, Cloud Functions, and more.
  • Automate deployments with scripting languages like Python and Bash.
  • Ensure security best practices are followed in cloud environments.
  • Collaborate with teams to deliver efficient cloud solutions.
  • Monitor and log cloud infrastructure using tools like Stackdriver and Grafana.
Requirements
  • 6+ years of experience in DevOps or Cloud Engineering.
  • 3+ years of hands-on experience with Google Cloud Platform (GCP).
  • Strong expertise in GCP services, including compute and storage solutions.
  • Proven experience in automated deployments and CI/CD pipeline design.
  • Expertise in containerization technologies such as Docker and Kubernetes.
  • Solid knowledge of security practices in cloud environments.
  • Proficiency in scripting languages like Python, Bash, or Go.
Benefits
  • Flexible work hours to support work-life balance.
  • Opportunity to work from anywhere remotely.
  • Access to professional development resources and training.
  • Collaboration with a talented and passionate team.
  • Support for mental health and wellness initiatives.
Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role\'s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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