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
Skills
Cloudera Data Platform (CDP)
Cloudera Machine Learning (CML)
HDFS
YARN
Hive
Impala
Ozone
Apache Spark
AWS
EC2
EKS
IAM
S3
VPC
CloudWatch
GPU
Containers
Kubernetes
SageMaker
Bedrock
OpenSearch
Glue
Athena
EMR
OpenShift
Shell
Python
Java
C++
Git
Jenkins
GitLab CI/CD
GitHub Actions
ArgoCD
Terraform
Ansible
CloudFormation
Benefits
Health insurance
Professional development
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)
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
Benefits
Why Join
Join a team that powers OCBC’s enterprise Data, Analytics, and AI platforms across hybrid cloud environments. You’ll work with leading technologies including Cloudera CDP/CML, AWS Cloud, Big Data, and AI/ML platforms, while driving innovation, reliability, and operational excellence.
How You Succeed
Success in this role comes from your ability to manage and optimize complex hybrid cloud data platforms, automate operations, resolve issues proactively, and collaborate effectively with Data, AI/ML, Infrastructure, Security, and SRE teams.
Responsibilities
What You Do
•
Administer and support Cloudera Data Platform (CDP), Cloudera Machine Learning (CML), Hadoop, and Spark environments across AWS and on-premises infrastructure.
Support containerized platforms on Kubernetes, OpenShift, and AWS EKS, ensuring high availability and performance.
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Monitor, troubleshoot, and optimize Data, Analytics, AI/ML, and Generative AI platforms including AWS services such as SageMaker, Bedrock, EMR, and S3.
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Automate operational processes using Shell/Python scripting and collaborate with Infrastructure, Security, and SRE teams to improve platform reliability and scalability.
Who You Are
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A degree in Computer Science, Information Technology, or a related field
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At least 3 years of experience in software development, preferably in a banking or financial services environment
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Proficient in one or more programming languages, such as Java, Python, or C++
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Experience with Agile development methodologies and version control systems such as Git
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Strong problem-solving skills, with the ability to analyze complex technical issues and develop creative solutions
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Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
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Diploma or Degree in Computer Science, Information Technology, Engineering, or a related discipline.
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5-8 years of experience supporting enterprise Data, Analytics, or AI/ML platforms, with hands-on expertise in Cloudera Data Platform (CDP), Cloudera Machine Learning (CML), Hadoop, and Apache Spark.
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Strong experience in hybrid cloud environments, including AWS services (EC2, EKS, IAM, S3, CloudWatch) and on-premises infrastructure, with knowledge of Kubernetes/OpenShift and Linux administration.
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Proven experience in platform operations, upgrade and maintenance activities, security patching, incident management, troubleshooting, and automation using Shell and/or Python scripting.
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.