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AVP, Platform & AI Infrastructure Engineer

dbs · Singapore

New
Senior 🇬🇧 English
Java Spring Boot Microservices PostgreSQL MariaDB SQL Server Docker Kubernetes CI/CD GitHub Actions Jenkins Azure DevOps AWS Azure GCP Prometheus Grafana ELK OpenTelemetry NVIDIA MLOps

Job description

About the role

DBS is hiring an AVP, Platform & AI Infrastructure Engineer within its Group Technology and Operations function. The team builds an efficient, nimble and resilient infrastructure for the bank, focusing on productivity, quality, control, technology, people capability and innovation. The role is based at the DBS Asia Hub and is a full-time regular position.

Key responsibilities

  • Develop, deploy and support cloud-native applications, microservices and APIs using Java and Spring Boot.
  • Work 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.
  • Assist in deploying and operating AI/ML infrastructure, GPU clusters and model serving platforms.
  • Implement observability and monitoring with tools such as Prometheus, Grafana, ELK and OpenTelemetry.
  • Take part in system integration, performance optimization, automation and continuous improvement, and contribute to documentation, knowledge sharing and agile delivery.

Required profile

  • Strong experience in software engineering, platform engineering, DevOps, cloud infrastructure or related fields.
  • Hands-on engineer with a collaborative, self-driven approach and strong problem-solving and troubleshooting skills.
  • Preferred: exposure to AI/ML platforms, GPU infrastructure or NVIDIA technologies, LLMs, generative AI, MLOps or RAG, and infrastructure-as-code knowledge.

Required skills

  • Java, Spring Boot, microservices and RESTful APIs
  • PostgreSQL, MariaDB or SQL Server
  • Docker, Kubernetes and CI/CD tools such as GitHub Actions, Jenkins or Azure DevOps
  • AWS, Azure and/or GCP
  • Prometheus, Grafana, ELK, OpenTelemetry and SRE principles

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Source : ats:workday

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Published 2 hours ago

Expires 1 month from now

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dbs

Singapore