VP, Senior Cloud Engineer - Data Platform, Group Technology

About the role

DBS Group Technology manages the majority of the bank's operational processes and delivers banking services through multiple channels. As Senior Cloud Engineer (Data & AI Platform), you will own 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, provide technical leadership and set engineering standards.

Key responsibilities

• Design, implement and operate scalable, resilient and cost-efficient data, analytics, AI and agentic platforms on GCP.
• Build reusable infrastructure and deployment patterns for enterprise AI and agentic workloads, including agent frameworks and model-serving environments.
• Design secure integration patterns between AI agents and enterprise data sources, APIs, tools and business systems.
• 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, data, APIs and platform resources.
• Lead technical design discussions, architecture reviews and engineering governance, and define standards and operational controls.
• Implement cloud-native practices including Infrastructure as Code, CI/CD, automated testing and DevSecOps controls.
• Act as the L3 escalation point for complex production issues, lead root cause analysis and implement permanent fixes.
• Mentor engineers, conduct design and code reviews, and evaluate emerging cloud and AI technologies.

Required profile

• 8+ years of infrastructure, platform or cloud engineering experience, including at least 5 years with GCP.
• Strong hands-on experience building enterprise-scale solutions on GCP, including hybrid cloud production workloads.
• Experience engineering platforms for AI/ML, Generative AI or agentic workloads.
• Nice to have: experience leading engineering squads or acting as technical lead for cloud initiatives.

Required skills

• BigQuery, Dataproc, Cloud Storage, Spark, Avro and Parquet.
• Kubernetes, Docker and containerised workloads.
• Terraform, Infrastructure as Code, CI/CD and cloud automation.
• Cloud IAM, service accounts, workload identity and federated identities.
• Least-privilege IAM, encryption, secrets and key management, and data governance.
• Nice to have: Google Professional Cloud Architect, DevOps or Data Engineer certifications; Python and/or Java; Kafka, OpenTelemetry, Grafana or Prometheus; PostgreSQL and MySQL; regulated or financial-services environment experience.