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 manage the majority of the Bank's operational processes and inspire to delightour business partners through our multiple banking delivery channels.

Job Responsibilities

As a Senior Cloud Engineer(Data & AI platform), you will be 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, data scientistsand platform teams to deliver scalable, secureand resilient cloud solutions supportingagentic,analytics, AI/MLand business-critical workloads. You will provide technical leadership, drive engineering best practicesand 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 operatehighly 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 including Infrastructure asCode, CI/CD, automated testing and DevSecOpscontrols.

• 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 cause analysisand implement permanent corrective actions.

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

• Optimiseperformance, scalabilityand 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, 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, 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.

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