{"id":1327165,"url":"https://alion.io/job/ocbc-bank-enterprise-data-ai-platform-engineer","title":"Enterprise Data & AI Platform Engineer","company":{"id":4187,"name":"OCBC Bank","domain":"ocbc.com","url":"https://alion.io/company/ocbc","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":122,"ghost_share":0,"stale_share":0.779,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":60000,"max_usd":130000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":26},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Hadoop","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenSearch","optional":false},{"name":"Spark","optional":false},{"name":"Agile","optional":true},{"name":"Ansible","optional":true},{"name":"Apache Iceberg","optional":true},{"name":"ArgoCD","optional":true},{"name":"C++","optional":true},{"name":"CI/CD","optional":true},{"name":"CloudFormation","optional":true},{"name":"Git","optional":true},{"name":"GitHub Actions","optional":true},{"name":"GitLab CI","optional":true},{"name":"Incident Management","optional":true},{"name":"Java","optional":true},{"name":"Jenkins","optional":true},{"name":"Linux","optional":true},{"name":"LLM","optional":true},{"name":"OpenShift","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true},{"name":"Rest API","optional":true},{"name":"Terraform","optional":true},{"name":"Unix","optional":true}],"status":"live","first_seen_at":"2026-08-05T00:00:00Z","employer_posted_date":"2026-08-05","last_verified_at":"2026-10-18T09:07:44Z","board_verified":true,"closed_at":null,"days_open":74,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":74},"description":"WHO WE ARE:\nAs 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.\nToday, 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.\nWe 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.\nYour Opportunity Starts Here.\n Enterprise Data & AI Platform Engineer (Group Engineering - Enterprise Data)\nTechnical Skills\nCore Skills (Must Have)\nCloudera Data Platform (CDP)\n\nCloudera Machine Learning (CML)\n\nHadoop Ecosystem (HDFS, YARN, Hive, Impala, Ozone) Apache Spark\n\nHybrid Cloud Architecture (AWS & On-Premises)\n\nAWS Core Services (EC2, EKS, IAM, S3, VPC, CloudWatch)\n\nAI/ML Infrastructure Support (GPU, Containers, Kubernetes)\n\nAI/ML Services: SageMaker/Bedrock/OpenSearch/Glue/Athena/EMR\n\nPreferred Skills\nVulnerability Management, Security Patching, Hardening & Compliance Management\n\nPlatform Upgrade, Migration & Maintenance Activities\n\nMicroservices Architecture & REST APIs\n\nCertificate & Secrets Management\n\nOpenShift / Kubernetes Administration\n\nHybrid Infrastructure Operations (AWS & On-Prem)\n\nMLOps Platforms and AI Model Lifecycle Management\n\nLinux / Unix Administration\n\nOpenShift / Kubernetes Administration\n\nPlatform Monitoring, Troubleshooting & Performance Tuning\n\nGood to Have\nCloudera Certifications (CDP, CML, Cloudera Administrator)\n\nBig Data Certifications (Spark, Iceberg, Hadoop)\n\nAWS Certifications:\nAWS Certified Solutions Architect\n\nAWS Certified AI Practitioner\n\nExperience with CI/CD Tools (Jenkins, GitLab CI/CD, GitHub Actions, ArgoCD)\n\nInfrastructure as Code (Terraform, Ansible, CloudFormation)\n\nExperience with SRE Practices, Observability & Monitoring Platforms\n\nExposure to Data Lakehouse Architectures and Apache Iceberg\n\nExperience supporting Generative AI platforms and LLM workloads\n\nKnowledge of Vector Databases, RAG Architectures and AI Governance\n\nDevSecOps and Cloud Security Best Practices\n\nMulti-Cloud or Hybrid Cloud Platform Management\n\nWhy Join\nJoin 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.\nHow You Succeed\nSuccess 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.\nWhat You Do\nAdminister and support Cloudera Data Platform (CDP), Cloudera Machine Learning (CML), Hadoop, and Spark environments across AWS and on-premises infrastructure.\n\nManage platform upgrades, security patching, vulnerability remediation, certificate management, and platform hardening activities.\n\nSupport containerized platforms on Kubernetes, OpenShift, and AWS EKS, ensuring high availability and performance.\n\nMonitor, troubleshoot, and optimize Data, Analytics, AI/ML, and Generative AI platforms including AWS services such as SageMaker, Bedrock, EMR, and S3.\n\nAutomate operational processes using Shell/Python scripting and collaborate with Infrastructure, Security, and SRE teams to improve platform reliability and scalability.\n\nWho You Are\nA degree in Computer Science, Information Technology, or a related field\n\nAt least 3 years of experience in software development, preferably in a banking or financial services environment\n\nProficient in one or more programming languages, such as Java, Python, or C++\n\nExperience with Agile development methodologies and version control systems such as Git\n\nStrong problem-solving skills, with the ability to analyze complex technical issues and develop creative solutions\n\nExcellent communication and collaboration skills, with the ability to work effectively with cross-functional teams\n\nDiploma or Degree in Computer Science, Information Technology, Engineering, or a related discipline.\n\n5-8 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.\n\nStrong 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.\n\nProven experience in platform operations, upgrade and maintenance activities, security patching, incident management, troubleshooting, and automation using Shell and/or Python scripting.\n\nWhat we offer:\nCompetitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. 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