Senior Cloud Engineer — Data & AI Platform (GCP)

DBS Bank Ltd; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

DBS Bank Ltd. in Singapore seeks a Senior Cloud Engineer to own the design, engineering, security and reliability of enterprise-scale data, analytics and AI platforms on Google Cloud Platform. You will partner with architects, data teams and security to deliver scalable, secure platform capabilities for analytics and AI workloads.

You will lead infrastructure as code, CI/CD and DevSecOps, mentor engineers, and drive governance across production environments while optimizing costs and performance.

Qualifications

• 8+ years of infrastructure, platform or cloud engineering experience.
• ≥5 years with GCP and enterprise-scale deployments.
• Experience building AI/ML, analytics or agentic workloads on cloud.
• Strong knowledge of BigQuery, Dataproc, Cloud Storage, Spark, Avro/Parquet.
• Hands-on Kubernetes, Docker in production environments.
• Terraform, IaC, CI/CD and DevSecOps practices.
• Understanding IAM, federation, workload identity and secure access.

Responsibilities

• Design and operate enterprise-scale data, analytics and AI platforms on GCP.
• Lead engineering standards, reviews and governance for production workloads.
• Build reusable patterns for agentic workloads and model serving.
• Design secure integration between AI agents and enterprise data sources.
• Mentor engineers and drive DevSecOps practices across teams.

Skills

GCP

Kubernetes

Terraform

CI/CD

Data & AI Platform

Python/Java

Security & IAM

BigQuery

Dataproc

Cloud Storage

Tools

Docker

OpenTelemetry

Grafana

Prometheus

Kafka

PostgreSQL

MySQL

Job description

DBS Bank Ltd. in Singapore seeks a Senior Cloud Engineer to own the design, engineering, security and reliability of enterprise-scale data, analytics and AI platforms on Google Cloud Platform. You will partner with architects, data teams and security to deliver scalable, secure platform capabilities for analytics and AI workloads.

You will lead infrastructure as code, CI/CD and DevSecOps, mentor engineers, and drive governance across production environments while optimizing costs and performance.