Cloud Engineer (GCP, Terraform, GKE, Spark, Dataproc, BigQuery, Kubernetes)

Responsibilities:

• Design, architect, deploy, and manage GCP infrastructure and production workloads across hybrid cloud environments.
• Automate infrastructure provisioning, configuration, and orchestration using Terraform.
• Deploy and manage containerized workloads using Kubernetes, Docker, and GKE, including serverless architectures within GCP.
• Develop and support data processing and analytics solutions using Dataproc, BigQuery, and Spark, including Avro and Parquet formats.
• Implement infrastructure monitoring, log analysis, and automated incident response within GCP.
• Implement, validate, and automate GCP security controls across cloud infrastructure and workloads.
• Provide L2/L3 operational support, troubleshoot complex production issues, and maintain reliable GCP services.

Requirements:

• 6+ years of experience in cloud engineering with strong hands-on experience in Google Cloud Platform (GCP) and enterprise production workloads.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Strong experience with Terraform for infrastructure-as-code, provisioning, configuration management, and automation.
• Hands-on expertise with Kubernetes, Docker, and GKE, including container orchestration and GCP serverless architectures.
• Strong experience with Dataproc, BigQuery, and Spark, including Avro and Parquet data formats.
• Experience in Hybrid Cloud Architecture, infrastructure monitoring, log analysis, incident response, and GCP security controls.
• Strong L2/L3 operational support and troubleshooting experience; GCP Associate or Specialist-level certification preferred.