Senior Cloud Engineer - Data Platform & AI on GCP

Devopsroles; Singapore; Presencial; SGD 180.000 - 240.000; Jornada completa

Descripción de la vacante

DBS Asia Hub is seeking a Cloud Engineer (Data & AI Platform) to own the design, security and operation of enterprise-scale data and AI platforms on Google Cloud Platform (GCP). You will collaborate with architects, data scientists and security teams to deliver scalable, secure platform capabilities for analytics, AI/ML and agentic workloads.

The role requires 8+ years in infrastructure or cloud engineering, with at least 5 years on GCP, and hands-on experience with BigQuery, Kubernetes,

Formación

• 8+ years of infrastructure, platform or cloud engineering experience, with at least 5 years on GCP.
• Design, implement and operate enterprise-scale solutions on GCP, including production workloads in hybrid environments.
• Experience enabling AI/ML or agentic workloads with reusable platform services and model-serving capabilities.
• Knowledge of data governance, security controls and data formats (Parquet/Avro).

Responsabilidades

• Design, engineer, secure, and operate enterprise-scale data, analytics, AI and agentic platforms on GCP.
• Lead architecture reviews, establish engineering standards and act as L3 escalation point for production issues.
• Implement IaC, CI/CD, automated testing and DevSecOps controls.
• Mentor engineers and drive adoption of best practices across cloud and data platforms.

Conocimientos

Leadership

Communication

Problem-solving

Team mentoring

Herramientas

GCP

BigQuery

Dataproc

Cloud Storage

Spark

Kubernetes

Docker

Terraform

CI/CD

OpenTelemetry

Grafana

Prometheus

PostgreSQL

MySQL

Descripción del empleo

DBS Asia Hub is seeking a Cloud Engineer (Data & AI Platform) to own the design, security and operation of enterprise-scale data and AI platforms on Google Cloud Platform (GCP). You will collaborate with architects, data scientists and security teams to deliver scalable, secure platform capabilities for analytics, AI/ML and agentic workloads.

The role requires 8+ years in infrastructure or cloud engineering, with at least 5 years on GCP, and hands-on experience with BigQuery, Kubernetes,