SENIOR PLATFORM & SECURITY ENGINEER - DIGITAL SERVICES & TECHNOLOGY OFFICE

Public Service Division

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

Public Service Division is seeking a Platform Engineer to design, build, secure, and operate an Enterprise Data & AI platform for a 2-year contract. You will own both the technical platform layer and the security layer, ensuring reliability, cost efficiency, and enterprise governance compliance.

You will configureDatabricks environments, automate deployments, govern CI/CD for ETL/ML workflows, monitor usage and costs, and maintain uptime.

Qualifications

  • 3–5 years in cloud platform engineering or security engineering.

Responsibilities

  • Configure and maintain Enterprise Data and AI platform including Databricks workspaces, clusters, SQL warehouses, endpoints and workflows.
  • Automate provisioning and deployments using Terraform, Databricks CLI, or APIs.
  • Design and govern CI/CD frameworks for ETL/ML deployments with secure, compliant delivery workflows.
  • Monitor platform usage, cost trends, and optimize performance of workloads.
  • Maintain platform reliability and meet uptime and service-level objectives.
  • Implement and maintain security controls including encryption, secrets management and secure access patterns.
  • Define and enforce role-based and attribute-based access policies across data assets and cloud compute resources.
  • Monitor audit and activity logs to detect policy violations and compliance risks.
  • Ensure operations align with security, compliance and regulatory requirements (IM8, NIST, GDPR, PDPA).
  • Collaborate with Data Engineers, Governance Leads, and Analysts to ensure data pipelines adhere to standards.
  • Work with CI/CD team to integrate monitoring and alerting into observability stack.
  • Advise leadership on platform performance, security posture, risks, and optimization opportunities.

Job description

[What the role is]

To design, build, secure, and operate the Enterprise Data & AI platform, ensuring it is reliable, cost-efficient, and compliant with enterprise governance standards. This role owns both the technical platform layer (clusters, jobs, CI/CD, monitoring) and the security layer (encryption, IAM, audit).

This is a 2-year contract position with the Digital Services & Technology Office.

[What you will be working on]
Platform Operations
  • Configure and maintain Enterprise Data and AI platform (e.g. Databricks workspaces, clusters, SQL warehouses, endpoints and workflows).
  • Automate provisioning and deployments using Terraform, Databricks CLI, or APIs.
  • Design and govern CI/CD frameworks used by Data Engineers for ETL/ML deployments, ensuring secure, compliant, and automated delivery workflows.
  • Monitor platform usage, cost trends, and optimize performance of workloads.
  • Maintain platform reliability and meet defined uptime and service-level objectives.
Security Engineering
  • Implement and maintain security controls for the enterprise data platform, including encryption, secrets management, and secure access patterns.
  • Define and enforce role-based and attribute-based access policies across data assets and cloud compute resources.
  • Configure secret scopes and secure service principal access.
  • Monitor platform audit and activity logs to detect policy violations, anomalous access, and compliance risks.
  • Ensure platform operations align with NP’s security, compliance, and regulatory requirements (e.g., IM8, NIST, GDPR. PDPA where applicable).
Collaboration
  • Work closely with Data Engineers, Governance Leads, and Analysts to ensure data pipelines, workflows, and products adhere to security and platform standards.
  • Work closely with CI/CD team to integrate monitoring and alerting into observability stack.
  • Advise leadership on platform performance and security posture and risks, optimisation opportunities, as well as compliance gaps.
[What we are looking for]
  • 3–5 years in cloud platform engineering or security engineering.
  • Proven experience managing and securing large-scale data or ML platforms.
  • Prior work in regulated industries (finance, healthcare, government) is a plus.
Skills & Certifications
  • Certifications:
  • Technical Skills:
  • Other Skills:
Attributes
  • Reliability-focused and security-first mindset with attention to detail.
  • Strong collaborator with engineering, governance, and leadership.
  • Proactive in risk identification and mitigation.
  • Balanced approach: performance and cost optimization while ensuring compliance.
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