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

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, analytics and agentic ai platforms running on Google Cloud Platform (GCP). You will partner with architects, data engineers, datascientistsand platform teams to deliver scalable,secureand resilient cloud solutions supporting agentic, 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 scalable and resilient data 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, engineer and operate cloud 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.

Location

DBS Asia Hub

Job

Technology

Schedule

Regular

Employee Status

Full time