Cloud Infrastructure Architect

5 days ago

Gurgaon, Haryana, India Coffeee Full time

About Coffeee

Coffeee is a dynamic company that strives for excellence in cloud-based solutions.

Salary: $120,000 - $180,000 per year

We offer a competitive salary range based on experience and qualifications.

Job Description

As a Cloud Infrastructure Architect at Coffeee, you will be responsible for designing and implementing scalable, secure, and resilient infrastructure on Google Cloud Platform (GCP).

You will work closely with development, operations, and security teams to ensure efficient and reliable operations of our infrastructure.

Key Responsibilities:

  • Design and Implement Scalable Infrastructure: Design, implement, and manage scalable, secure, and resilient infrastructure on GCP.
  • Automate Deployment and Management: Automate deployment, monitoring, and management processes using infrastructure as code (IaC) tools like Terraform and Google Deployment Manager.
  • Collaborate with Development Teams: Collaborate with development and operations teams to build CI/CD pipelines using tools like Jenkins, GitLab, or Google Cloud Build.
  • Monitor Systems Performance: Monitor systems to ensure performance, availability, and scalability through tools like Google Cloud Monitoring, Prometheus, and Grafana.
  • Troubleshoot Issues: Troubleshoot issues in development, test, and production environments.
  • Optimize Infrastructure Costs: Optimize infrastructure costs by using appropriate Google Cloud services, including Compute Engine, Kubernetes Engine (GKE), and Cloud Functions.
  • Implement Security Best Practices: Implement security best practices and maintain compliance with organizational and regulatory policies.

Qualifications:

  • Experience: 4-6 years of experience in DevOps or Cloud Engineering.
  • Certifications: Google Certified Professional DevOps Engineer (required).
  • Skills: Hands-on experience with container orchestration tools like Kubernetes and Docker. Strong knowledge of Google Cloud Platform services and architecture. Proficiency in scripting languages (e.g., Python, Bash). Experience with automation tools like Terraform, Ansible, or Chef.

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