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

Business Function   Group Technology enables and empowers the bank with an efficient,  nimble  and resilient infrastructure through a strategic focus on productivity, quality & control, technology,  people  capability and innovation. In Group Technology, we manage the majority of the Bank's operational processes and  inspire to delight  our business partners through our multiple banking delivery channels.   Job Responsibilities   As a Senior Cloud Engineer (Data & AI platform) , you will  be responsible for  the 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, data  scientists  and platform teams to deliver scalable,  secure  and resilient cloud solutions supporting agentic, analytics, AI/ ML  and business-critical workloads. You will provide technical leadership, drive engineering best  practices  and 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 and  operate  highly scalable and resilient data and analytics platforms on GCP handling large-scale workloads.   • Analyse  business and technical requirements and translate them into secure,  resilient  and 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 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.  • Act as L3 escalation point for major incidents, drive root cause  analysis  and implement permanent corrective actions.  • Drive observability,  monitoring  and reliability improvements through SRE principles,  automation  and proactive capacity management.  • Optimise  performance,  scalability  and cost across  BigQuery ,  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,  platform  or 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, implementing and operating enterprise-scale solutions on GCP.  • Deep expertise in BigQuery, Dataproc, Cloud Storage and cloud-native data platforms.  • Hands-on experience with Kubernetes, Docker and containerised workloads in production environments.  • Strong proficiency in 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.  • Demonstrated experience troubleshooting complex distributed stems and cloud-native workloads.  • Experience leading root cause analysis, problem management and operational improvement initiatives.  • Hands-on experience with infrastructure monitoring, observability, log analysis and incident response.  • Ability to implement and automate workload-level security controls within GCP.  • Strong stakeholder management, communication and technical leadership skills.  • Experience working within Agile delivery environments.  Nice to Have  • Google Professional Cloud Architect, Professional Cloud DevOps Engineer or Professional Data Engineer certification.  • Experience leading engineering squads or serving as technical lead for cloud initiatives.  • Development experience in Python and/or Java.  • Experience with Kafka and event-driven architectures.  • Experience with OpenTelemetry, Grafana or Prometheus.  • Experience with SQL platforms including PostgreSQL and MySQL.  • Experience supporting regulated enterprise or financial-services environments.  Location: DBS Asia Hub Job: Technology Schedule: Regular Employee Status: Full time