SVP, Senior Cloud Engineer (Data & AI Platform), Group Technology (WD87133)

DBS BANK LTD.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

DBS Bank Ltd. is seeking a Senior Cloud Engineer (Data & AI platform) in Singapore to design, build and operate enterprise-scale data and AI workloads on Google Cloud Platform.

You will partner with architects, data engineers, scientists and platform teams to deliver scalable, secure cloud solutions and ensure reliability. The role requires 10+ years in infrastructure or cloud engineering with strong GCP expertise.

Qualifications

• 10+ years of infrastructure, platform or cloud engineering experience with a focus on GCP.
• Experience building AI/ML, Generative AI or Agentic workloads on cloud platforms is highly advantageous.
• Strong hands-on design, implementation and operation of enterprise-scale solutions on GCP.

Responsibilities

• Design and support infrastructure capabilities enabling enterprise agentic frameworks and AI agent deployment patterns.
• Design, implement and operate scalable data and analytics platforms on GCP handling large-scale workloads.
• Translate business and technical requirements into secure, resilient and cost-efficient designs.
• Lead technical design discussions and contribute to architecture reviews and governance.
• Design, engineer and operate cloud infrastructure for AI/ML and Generative AI workloads.
• Support enterprise adoption of AI platforms and model serving environments.
• Implement Infrastructure as Code, CI/CD, automated testing and DevSecOps controls.
• Lead troubleshooting of complex production issues across infrastructure and data platforms including Kubernetes.
• Act as L3 escalation point for major incidents and implement permanent corrective actions.
• Drive observability and reliability improvements through SRE practices and automation.
• Optimize performance, scalability and cost across BigQuery, Dataproc, Spark and related services.
• Mentor junior engineers and promote engineering best practices.
• Continuously evaluate emerging cloud technologies to enhance platform capabilities.

Skills

GCP architecture

Cloud engineering

Infrastructure design

AI/ML platforms

BigQuery

Dataproc

Cloud Storage

Kubernetes

Docker

Terraform

Hybrid cloud

Apache Spark

Parquet/Avro

Troubleshooting

Root cause analysis

Observability

Security in GCP

Stakeholder management

AGILE

Job description

Business Function

Group Technology enables and empowers the bank with an efficient,nimbleand resilient infrastructure through a strategic focus on productivity, quality & control, technology,peoplecapability and innovation. In Group Technology, we managethe majority ofthe Bank's operational processes andinspire to delightour business partners through our multiple banking delivery channels.

Job Responsibilities

As a Senior Cloud Engineer(Data & AI platform), you willbe responsible forthe design, engineering, reliability and operational excellence of enterprise-scale data,analyticsand agentic aiplatforms running on Google Cloud Platform (GCP). You will partner with architects, data engineers, datascientistsand platform teams to deliver scalable,secureand resilient cloud solutions supportingagentic,analytics, AI/MLand business-critical workloads. You will provide technical leadership, drive engineering bestpracticesand serve as an escalation point for complex production issues.

• Design and support infrastructure capabilities enabling enterprise agentic frameworks and AI agent deployment patterns.




• Design, implement andoperatehighly scalableand resilientdata and analytics platforms on GCP handling large-scale workloads.




• Analysebusiness and technical requirements and translate them into secure,resilientand cost-efficient solution designs.




• Lead technical design discussions and contribute to architecture reviews and engineering governance activities.




• Design,engineerandoperatecloud infrastructure supporting AI/ML and Generative AI workloads.




• Support enterprise adoption of AI platforms, model serving environments and agentic application architectures.




• Implement cloud-native engineering practices includingInfrastructure asCode, CI/CD, automatedtestingandDevSecOpscontrols.




• Lead troubleshooting and remediation of complex production issues across infrastructure, data platforms,Kubernetesand distributed systems.




• Act as L3 escalation point for major incidents, drive root causeanalysisand implement permanent corrective actions.




• Drive observability,monitoringand reliability improvements through SRE principles,automationand proactive capacity management.




• Optimiseperformance,scalabilityand cost acrossBigQuery,Dataproc, Spark and related cloud services.




• Mentor junior engineers, conduct design/code reviews and promote engineering best practices.




• Continuously evaluate and adopt emerging cloud technologies to improve platform capabilities.

Job Requirements

• 10+ years of infrastructure,platformor cloud engineering experience with at least 5 years in GCP.




• Experience supporting or engineering platforms that enable AI/ML, Generative AI or Agentic workloads will be highly advantageous.




• Strong hands-on experience designing,implementingandoperatingenterprise-scale solutions on GCP.




• DeepexpertiseinBigQuery,Dataproc, Cloud Storage and cloud-native data platforms.




• Hands-on experience with Kubernetes,Dockerandcontainerisedworkloads in production environments.




• Strongproficiencyin Terraform and Infrastructure as Code practices.




• Experience architecting and supporting production workloads across hybrid cloud environments.




• Strong knowledge of Spark and schema formats such as Avro and Parquet.




• Demonstratedexperiencetroubleshooting complex distributed stems and cloud-native workloads.




• Experience leading root cause analysis, problemmanagementand operational improvement initiatives.




• Hands-on experience with infrastructure monitoring, observability, loganalysisand incident response.




• Ability to implement and automate workload-level security controls withinGCP.




• Strong stakeholder management,communicationand technical leadership skills.




• Experience working within Agile delivery environments.

Nice to Have

• Google Professional Cloud Architect, Professional Cloud DevOpsEngineeror Professional Data Engineer certification.




• Experience leading engineering squads or serving astechnicallead for cloud initiatives.




• Development experience in Python and/or Java.




• Experience with Kafka and event-drivenarchitectures.




• Experience withOpenTelemetry,Grafanaor Prometheus.




• Experience with SQL platforms including PostgreSQL and MySQL.




• Experience supporting regulated enterprise orfinancial-servicesenvironments.
  

  We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.