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
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.
What You Do
Administer and support Cloudera Data Platform (CDP), Cloudera Machine Learning (CML), Hadoop, and Spark environments across AWS and on-premises infrastructure.
Manage platform upgrades, security patching, vulnerability remediation, certificate management, and platform hardening activities.
Support containerized platforms on Kubernetes, OpenShift, and AWS EKS, ensuring high availability and performance.
Monitor, troubleshoot, and optimize Data, Analytics, AI/ML, and Generative AI platforms including AWS services such as SageMaker, Bedrock, EMR, and S3.
Automate operational processes using Shell/Python scripting and collaborate with Infrastructure, Security, and SRE teams to improve platform reliability and scalability.
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
Diploma or Degree in Computer Science, Information Technology, Engineering, or a related discipline.
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.
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.
Proven experience in platform operations, upgrade and maintenance activities, security patching, incident management, troubleshooting, and automation using Shell and/or Python scripting.