Cloud Specialist - GCP

NTT Singapore Pte Ltd; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

NTT Singapore Pte Ltd is seeking an experienced cloud engineer to design, build, and operate scalable data infrastructure on Google Cloud Platform (GCP). You will support distributed computing, ML workloads, and hybrid cloud deployments, using Terraform and cloud-native architectures.

You will work with Kubernetes, Spark, and data formats like Avro and Parquet, implementing security controls and automation to enhance reliability and delivery quality. Strong L2/L3 support experience is expected.

Qualifications

• Hands-on experience deploying and operating production workloads on GCP, including hybrid cloud environments.
• Strong experience with GKE, Dataproc and BigQuery.
• Proficiency with Terraform for infrastructure as code.
• Experience with Kubernetes, Docker and GCP serverless services.
• Experience with Apache Spark and data formats such as Avro and Parquet.
• Knowledge of cloud monitoring, log analysis, automation and incident response.
• Ability to implement and validate security controls in GCP.
• Strong cloud architecture or development experience, with a GCP associate or specialist level certification.
• Experience providing L2/L3 support for production systems.

Responsibilities

• Design, build and operate scalable data collection and analytics infrastructure on Google Cloud Platform (GCP).
• Support distributed computing, machine learning and agentic AI workloads.
• Deploy and manage GCP infrastructure and data services across a hybrid cloud environment.
• Build automated infrastructure using Terraform and cloud native architecture patterns.
• Implement monitoring, logging, security controls and automated incident response.
• Apply Agile practices, test driven development and CI/CD to improve delivery quality.
• Troubleshoot and resolve L2/L3 operational issues.
• Evaluate new cloud technologies to improve platform performance and reliability.

Skills

Cloud architecture

CI/CD & automation

Agile practices

Incident response

Troubleshooting

Distributed systems

Tools

GKE

Dataproc

BigQuery

Terraform

Kubernetes

Docker

GCP serverless services

Job description

Responsibilities:

• Design, build and operate scalable data collection and analytics infrastructure on Google Cloud Platform (GCP).
• Support distributed computing, machine learning and agentic AI workloads.
• Deploy and manage GCP infrastructure and data services across a hybrid cloud environment.
• Build automated infrastructure using Terraform and cloud native architecture patterns.
• Implement monitoring, logging, security controls and automated incident response.
• Apply Agile practices, test driven development and CI/CD to improve delivery quality.
• Troubleshoot and resolve L2/L3 operational issues.
• Evaluate new cloud technologies to improve platform performance and reliability.

Requirements:

• Hands-on experience deploying and operating production workloads on GCP, including hybrid cloud environments.
• Strong experience with GKE, Dataproc and BigQuery.
• Proficiency with Terraform for infrastructure as code.
• Experience with Kubernetes, Docker and GCP serverless services.
• Experience with Apache Spark and data formats such as Avro and Parquet.
• Knowledge of cloud monitoring, log analysis, automation and incident response.
• Ability to implement and validate security controls in GCP.
• Strong cloud architecture or development experience, with a GCP associate or specialist level certification.
• Experience providing L2/L3 support for production systems.