AVP, Platform & AI Infrastructure Engineer, Group Infrastructure & Cloud, Group Technology

**Business Function** Group Technology and Operations enables and empowers the Bank with an efficient, nimble, and resilient infrastructure through a focus on productivity, quality and control, technology, people capability, and innovation. **Responsibilities** * Develop, deploy, and support cloud-native applications, microservices, and APIs using Java and Spring Boot. * Collaborate with engineering, security, operations, and AI teams to deliver scalable, secure, and reliable platform solutions. * Build and maintain CI/CD pipelines, containerized workloads, and Kubernetes-based platforms. * Support cloud environments across AWS, Azure, and/or GCP. * Monitor platform health, troubleshoot production issues, and contribute to operational excellence initiatives. * Assist in the deployment and operation of AI/ML infrastructure, GPU clusters, and model serving platforms. * Implement observability and monitoring capabilities using tools such as Prometheus, Grafana, ELK, and OpenTelemetry. * Participate in system integration, performance optimization, automation, and continuous improvement activities. * Contribute to technical documentation, knowledge sharing, and agile delivery practices. **Requirements** * Strong experience in Software Engineering, Platform Engineering, DevOps, Cloud Infrastructure, or related disciplines. * Proficiency in Java, Spring Boot, microservices architecture, and RESTful APIs. * Understanding of event-driven architectures, system integration, and secure coding practices. * Experience with relational databases such as PostgreSQL, MariaDB, or SQL Server. * Hands-on experience with Docker, Kubernetes, and CI/CD tools such as GitHub Actions, Jenkins, or Azure DevOps. * Familiarity with AWS, Azure, and/or GCP cloud platforms. * Experience with monitoring and observability tools. * Exposure to Site Reliability Engineering (SRE) principles and production support. **Preferred Skills** * Exposure to AI/ML platforms, GPU infrastructure, or NVIDIA technologies. * Familiarity with Large Language Models (LLMs), Generative AI, MLOps, or RAG architectures. * Experience with GPU-enabled environments, NVIDIA DGX, HPC, or hybrid-cloud deployments. * Knowledge of Infrastructure-as-Code and automation tools. **What We're Looking For** * Strong individual contributor with a hands-on engineering mindset. * Collaborative team player who works effectively across cross-functional teams. * Self-driven, proactive, and eager to learn new technologies. * Strong problem-solving and troubleshooting skills. * Passion for cloud, platform engineering, AI infrastructure, and emerging technologies. **Location:** DBS Asia Hub **Job:** Technology **Schedule:** Regular **Employee Status:** Full time