VP, Senior Cloud Engineer, Data Platform, Group Technology

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

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.

Responsibilities

• - As a Senior Cloud Engineer (Data & AI Platform), you will be responsible for the design, engineering, security, reliability and operational excellence of enterprise-scale data, analytics, AI and agentic platforms on Google Cloud Platform (GCP). You will partner with architects, data engineers, data scientists, security and governance teams to deliver scalable, secure and resilient platform capabilities for analytics, AI/ML, agentic and business-critical workloads. You will provide technical leadership, establish engineering standards and serve as an escalation point for complex production issues.
• Design, implement and operate scalable, resilient and cost-efficient data, analytics, AI and agentic platform capabilities on GCP.
• Build reusable infrastructure and deployment patterns that support the development, productionisation and operation of enterprise AI and agentic workloads, including agent frameworks and model-serving environments.
• Design secure and scalable integration patterns connecting AI agents with enterprise data sources, APIs, tools and business systems.
• Design and implement identity, access and governance controls for human and non-human identities, including service accounts, workload identity, federation and delegated access.
• Define least-privilege, policy-driven access patterns for AI services, enterprise data, APIs and platform resources.
• Lead technical design discussions, architecture reviews and engineering governance; define standards and operational controls for production workloads.
• 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 cloud infrastructure, data platforms, Kubernetes and distributed systems; act as the L3 escalation point, lead root cause analysis and implement permanent corrective actions.
• Mentor engineers, conduct design and code reviews, promote engineering best practices and evaluate emerging cloud and AI technologies to improve platform capabilities.

Requirements

• 8+ years of infrastructure, platform or cloud engineering experience, including at least 5 years working with GCP.
• Strong hands-on experience designing, implementing and operating enterprise-scale solutions on GCP, including production workloads in hybrid cloud environments.
• Experience engineering platforms that enable AI/ML, Generative AI or agentic workloads, including reusable platform services, deployment patterns or model-serving capabilities.
• Expertise in BigQuery, Dataproc, Cloud Storage and cloud-native data platforms, with strong knowledge of Spark and data formats such as Avro and Parquet.
• Hands-on experience with Kubernetes, Docker and containerised workloads in production environments.
• Hands-on experience with Terraform, Infrastructure as Code, CI/CD and cloud automation practices.
• Strong understanding of cloud IAM, service accounts, federated identities, workload identity, delegated authorisation and secure machine-to-machine or application-to-application access models.
• Experience implementing enterprise security controls, including least-privilege IAM, encryption, secrets and key management, policy-based access controls and workload-level security automation.
• Knowledge of data governance and secure data-access patterns, including fine-grained access controls and entitlement-aware authorisation.

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