Platform & Security Engineer, Enterprise Data & AI

NPO Ngee Ann Polytechnic; Singapore; On-site; SGD 110,000 - 170,000; Full time

Job summary

Ngee Ann Polytechnic is hiring to design, build, secure, and operate the Enterprise Data & AI platform. You will own both the technical platform layer (clusters, CI/CD, monitoring) and the security layer (encryption, IAM, audit).

This is a 2-year contract with the Digital Services & Technology Office. Responsibilities include platform operations, security engineering, and close collaboration with Data Engineers, Governance Leads, and Analysts to ensure compliant, cost-efficient delivery of data

Qualifications

• 3–5 years in cloud platform engineering or security engineering.
• Proven experience managing and securing large-scale data or ML platforms.
• Experience in regulated industries is a plus.
• Cloud security knowledge with IAM, KMS, encryption.

Responsibilities

• Design, build, secure, and operate the Enterprise Data & AI platform.
• Configure and maintain Databricks workspaces, clusters, SQL warehouses, endpoints and workflows.
• Automate provisioning and deployments with Terraform, Databricks CLI, or APIs.
• Govern CI/CD frameworks for ETL/ML deployments with secure, compliant delivery.
• Monitor usage, cost trends, and optimize workload performance.
• Maintain platform reliability and meet uptime/SLO targets.
• Implement security controls: encryption, secrets management, access policies.
• Monitor audit logs for policy violations and compliance risks.
• Collaborate with Data Engineers, Governance Leads, and Analysts.

Education

Degree or Diploma in CS/CE/IT

Tools

Terraform

Databricks CLI

Azure DevOps

GitHub Actions

Jenkins

Job description

Ngee Ann Polytechnic is hiring to design, build, secure, and operate the Enterprise Data & AI platform. You will own both the technical platform layer (clusters, CI/CD, monitoring) and the security layer (encryption, IAM, audit).

This is a 2-year contract with the Digital Services & Technology Office. Responsibilities include platform operations, security engineering, and close collaboration with Data Engineers, Governance Leads, and Analysts to ensure compliant, cost-efficient delivery of data