Senior AI & Data Platform Engineer - Hybrid Cloud

OCBC (Singapore); Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive base salary

Holistic, flexible benefits

World‑class learning opportunities

Job summary

OCBC (Singapore) invites applications for an Enterprise Data & AI Platform Engineer in Group Engineering. You will manage and optimise hybrid cloud data platforms, automate operations, and collaborate with Data, AI/ML, Infrastructure, Security, and SRE teams across AWS and on‑premises environments.

The role emphasizes platform upgrades, security patching, and scalable operations with CDP, CML, Hadoop, and Spark, alongside experience in Kubernetes/OpenShift and Linux administration.

Qualifications

• Degree in Computer Science, IT, or related field.
• 5+ years in enterprise Data/Analytics/AI platforms preferred.
• Strong experience with CDP/CML, Hadoop, Spark in hybrid cloud.

Responsibilities

• Administer and support CDP, CML, Hadoop, and Spark across AWS and on‑premises.
• Manage platform upgrades, security patching, and hardening activities.
• Support containerized platforms on Kubernetes, OpenShift, and EKS.
• Monitor and optimize AWS data/AI platforms (SageMaker, EMR, S3).
• Automate operations with Shell/Python; collaborate across teams.

Education

Degree in Computer Science / Information Technology

Diploma or Degree in related discipline

Tools

Cloudera CDP

Cloudera CML

Hadoop/HDFS/YARN/Hive/Impala

Apache Spark

Hybrid Cloud (AWS & On‑Prem)

AWS Core Services (EC2, EKS, IAM, S3)

SageMaker / Bedrock / OpenSearch / Glue / EMR

OpenShift / Kubernetes

Linux/Unix Administration

Job description

OCBC (Singapore) invites applications for an Enterprise Data & AI Platform Engineer in Group Engineering. You will manage and optimise hybrid cloud data platforms, automate operations, and collaborate with Data, AI/ML, Infrastructure, Security, and SRE teams across AWS and on‑premises environments.

The role emphasizes platform upgrades, security patching, and scalable operations with CDP, CML, Hadoop, and Spark, alongside experience in Kubernetes/OpenShift and Linux administration.