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.