GCP Cloud Engineer

Job Title : GCP Cloud Engineer

Location: Hyderabad

Job Type : Full Time

Shift Timmings : 6 PM to 3 AM IST

About the Role

GCP Cloud Engineer

Key Responsibilities

• Design, deploy, and manage scalable and secure solutions on

  Google Cloud Platform (GCP)

  .
• Implement and maintain

  CI/CD pipelines

  using Cloud Build, Jenkins, GitHub Actions, or similar tools.
• Architect, configure, and support services such as

  GKE (Kubernetes), Compute Engine, Cloud Run, BigQuery, IAM, Cloud Storage, and Pub/Sub

  .
• Develop Infrastructure-as-Code (IaC) using

  Terraform

  ,

  Deployment Manager

  , or

  Pulumi

  .
• Support migrations from on-prem workloads or other cloud providers to GCP.
• Optimize cloud systems for

  cost efficiency, security, and performance

  .
• Implement logging, monitoring, and observability with

  Cloud Logging, Cloud Monitoring, and Stackdriver

  .
• Troubleshoot cloud infrastructure issues and collaborate with cross-functional engineering and security teams.
• Ensure compliance with organization policies, standards, and governance frameworks.

Required Skills & Experience

• 510+ years

  of experience in cloud engineering or related roles.
• Hands-on experience with

  Google Cloud Platform

  (Compute, Networking, IAM, Storage, Monitoring, Cloud SQL, VPC, Serverless frameworks).
• Strong proficiency with

  Terraform

  or equivalent IaC tools.
• Experience with

  Docker, Kubernetes (GKE), microservices deployments, and container orchestration

  .
• Solid understanding of

  DevOps best practices, automation, CI/CD, and GitOps workflows

  .
• Experience in scripting languages such as

  Python, Bash, or Go

  .
• Strong troubleshooting, analytical, and problem-solving capabilities.

Preferred Qualifications

• Google Cloud certifications such as:

• Professional Cloud Architect

• Professional Cloud DevOps Engineer

• Associate Cloud Engineer

• Experience with cloud security frameworks, identity governance, or policy enforcement tools.
• Experience with data engineering components such as

  BigQuery ETL, Dataflow, Dataproc, or Looker

  (bonus).
• Prior experience working in public-sector environments or large enterprise environments.

• Prior experience working in public-sector environments or large enterprise environments.

Preferred candidate profile