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

DBS Bank

Location
Onsite (DBS Asia Hub, Singapore)
Employment
Full-time
Level
Senior Level
Posted 2 weeks ago

About the role

DBS Bank seeks an AVP Platform & AI Infrastructure Engineer to develop and support cloud-native applications and microservices. The role involves managing AI/ML infrastructure, including GPU clusters, while ensuring operational excellence through monitoring and automation within the Group Technology team.

Skills

Java Spring Boot Cloud Infrastructure Kubernetes Docker CI/CD AWS Azure GCP Microservices Observability AI/ML Infrastructure GPU Clusters Site Reliability Engineering RESTful APIs Infrastructure-as-Code

Full job details

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