WHO WE ARE:

As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.

Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.

We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.

Your Opportunity Starts Here.

Enterprise Data & AI Platform Engineer (Group Engineering - Enterprise Data)

Technical Skills

Core Skills (Must Have)

• Cloudera Data Platform (CDP)

• Cloudera Machine Learning (CML)

• Hadoop Ecosystem (HDFS, YARN, Hive, Impala, Ozone) Apache Spark

• Hybrid Cloud Architecture (AWS & On-Premises)

• AWS Core Services (EC2, EKS, IAM, S3, VPC, CloudWatch)

• AI/ML Infrastructure Support (GPU, Containers, Kubernetes)

• AI/ML Services: SageMaker/Bedrock/OpenSearch/Glue/Athena/EMR

Preferred Skills

• Vulnerability Management, Security Patching, Hardening & Compliance Management

• Platform Upgrade, Migration & Maintenance Activities

• Microservices Architecture & REST APIs

• Certificate & Secrets Management

• OpenShift / Kubernetes Administration

• Hybrid Infrastructure Operations (AWS & On-Prem)

• MLOps Platforms and AI Model Lifecycle Management

• Linux / Unix Administration

• OpenShift / Kubernetes Administration

• Platform Monitoring, Troubleshooting & Performance Tuning

Good to Have

• Cloudera Certifications (CDP, CML, Cloudera Administrator)

• Big Data Certifications (Spark, Iceberg, Hadoop)

• AWS Certifications:

  • AWS Certified Solutions Architect

  • AWS Certified AI Practitioner

• Experience with CI/CD Tools (Jenkins, GitLab CI/CD, GitHub Actions, ArgoCD)

• Infrastructure as Code (Terraform, Ansible, CloudFormation)

• Experience with SRE Practices, Observability & Monitoring Platforms

• Exposure to Data Lakehouse Architectures and Apache Iceberg

• Experience supporting Generative AI platforms and LLM workloads

• Knowledge of Vector Databases, RAG Architectures and AI Governance

• DevSecOps and Cloud Security Best Practices

• Multi-Cloud or Hybrid Cloud Platform Management

Who You Are

• A degree in Computer Science, Information Technology, or a related field

• At least 3 years of experience in software development, preferably in a banking or financial services environment

• Proficient in one or more programming languages, such as Java, Python, or C++

• Experience with Agile development methodologies and version control systems such as Git

• Strong problem-solving skills, with the ability to analyze complex technical issues and develop creative solutions

• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams

What we offer:

Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.