Senior Cloud Engineer, Data & AI Platform on GCP

China, Beijing Branch

Singapore

On-site

SGD 180,000 - 260,000

Full time

2 days ago
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Job summary

DBS Asia Hub in Singapore seeks a Senior Cloud Engineer for the Data & AI platform to design, engineer and operate enterprise-scale data and analytics workloads on Google Cloud Platform. You will partner with architects, data scientists and platform teams to deliver scalable, secure cloud solutions.

You will drive IaC, CI/CD, DevSecOps controls, observability and cost optimization across BigQuery, Dataproc and Spark while mentoring engineers and contributing to governance and best practices.

Qualifications

  • 10+ years of infrastructure, platform or cloud engineering experience with at least 5 years in GCP.
  • Experience supporting AI/ML, Generative AI or Agentic workloads is highly advantageous.
  • Hands-on experience designing, implementing and operating enterprise-scale solutions on GCP.

Responsibilities

  • Design, engineer and operate enterprise-scale data and analytics platforms on GCP.
  • Lead technical design discussions and contribute to architecture reviews and governance.
  • Implement cloud-native engineering practices including Infrastructure as Code, CI/CD, automated testing and DevSecOps controls.
  • Lead troubleshooting and remediation of complex production issues across infrastructure, data platforms, Kubernetes and distributed systems.
  • Mentor junior engineers and promote engineering best practices.
  • Continuously evaluate and adopt emerging cloud technologies to improve platform capabilities.

Skills

GCP
Kubernetes
Terraform
CI/CD
DevSecOps
BigQuery
Dataproc
Spark
Python
Java
OpenTelemetry
Grafana
Prometheus

Tools

Kubernetes
Docker
Terraform
OpenTelemetry
Grafana
Prometheus
BigQuery
Dataproc

Job description

DBS Asia Hub in Singapore seeks a Senior Cloud Engineer for the Data & AI platform to design, engineer and operate enterprise-scale data and analytics workloads on Google Cloud Platform. You will partner with architects, data scientists and platform teams to deliver scalable, secure cloud solutions.

You will drive IaC, CI/CD, DevSecOps controls, observability and cost optimization across BigQuery, Dataproc and Spark while mentoring engineers and contributing to governance and best practices.

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