AVP, Platform & AI Infrastructure Engineer, Group Infrastructure & Cloud, Group Technology
Singapore - East Full-time Mid-level ML Platform & Ops
At a glance
Mid-level ML Platform & Ops role at Dbs. Singapore - East · full-time.
Pay not stated ML Platform & Ops salary
RoleML Platform & Ops
SeniorityMid-level
LocationSingapore - East
EmploymentFull-time
PostedOct 27, 2026 · 5d ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Build and run Java and Spring Boot services, microservices and APIs for cloud-native platforms
- Set up CI/CD workflows, container workloads and Kubernetes platforms across supported cloud environments
- Help operate AI/ML infrastructure, including GPU clusters and model-serving platforms
- Track platform health, investigate production problems and add observability with the listed monitoring tools
- Improve integrations, performance and automation, while documenting technical work and sharing knowledge
What you bring
- Strong background in software, platform or DevOps engineering, or a related infrastructure discipline
- You can build Java and Spring Boot services using microservices and REST APIs
- Hands-on Docker, Kubernetes and CI/CD experience, plus familiarity with a listed cloud platform
- You understand event-driven systems, secure coding, relational databases and production support practices
Who this fits
This is a hands-on individual-contributor role for someone who works well with engineering, security, operations and AI teams. It suits an engineer interested in cloud platforms and AI infrastructure; the listed location is DBS Asia Hub.
From the employer
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 HubJob:
TechnologySchedule:
RegularEmployee Status:
Full time
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