Senior Platform Security Engineer, AI Infrastructure

Kerry Consulting; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Kerry Consulting client seeks a Senior Platform Security Engineer to drive security across the platform and infrastructure stack in Singapore. You will define security architecture across Kubernetes, identity, privileged access, infrastructure hardening, network segmentation and vulnerability management, and lead threat modelling with automation in delivery pipelines.

The role emphasizes hands-on leadership, strong coding skills in Python or Go, and experience with large-scale AI/GPU

Qualifications

• 7+ years of hands-on security in infrastructure/platform/cloud.
• Expertise in Kubernetes/container security and workload isolation.
• Experience with Linux/bare-metal security and automation.

Responsibilities

• Drive security across platform and infrastructure stack.
• Define architecture and engineering standards for Kubernetes, identity, privileged access, and network segmentation.
• Lead threat modelling, automate security controls in infra and pipelines.

Skills

Kubernetes security

Container security

Workload isolation

Admission controls

Network policies

Secrets management

Least-privilege access

Python

Go

Infrastructure-as-code

Policy-as-code

Identity/security

Multi-tenant security

Tools

Python

Go

Job description

Our client is a fast-growing AI infrastructure organisation building and operating large-scale compute platforms for advanced AI workloads. Its technology environment spans GPU infrastructure, bare metal, Kubernetes, virtualisation, networking and cloud-native platforms.

Role

We are seeking a Senior Platform Security Engineer to drive security across the platform and infrastructure stack. You will define security architecture and engineering standards across Kubernetes, identity, privileged access, infrastructure hardening, network segmentation and vulnerability management. The role will also lead threat modelling, automate security controls within infrastructure and delivery pipelines, and strengthen isolation across workloads, tenants and management environments.

Requirements

• 7+ years of experience across infrastructure, platform or cloud security, with strong hands-on production experience.
• Deep expertise in Kubernetes and container security, including workload isolation, admission controls, network policies, secrets and least-privilege access.
• Experience securing Linux, bare-metal and infrastructure management environments, including hardware and firmware security.
• Strong automation skills using Python or Go, infrastructure-as-code and policy-as-code.
• Experience with identity, privileged access, encryption and multi-tenant infrastructure security; exposure to large-scale AI/GPU infrastructure and SOC 2 or ISO 27001 is advantageous.