Senior Cloud Operations Leader - Enterprise AI & Healthcare

NUHS@Home; Singapore; Sur place; SGD 180 000 - 260 000; Plein temps

Résumé du poste

National University Health System in Singapore is seeking a Senior Manager of Cloud Operations to lead strategic and operational management of enterprise cloud platforms supporting digital, data and AI initiatives.

You will drive platform reliability, security and scalability across hybrid environments, oversee incident and problem management, and coordinate with clinical and IT stakeholders to enable AI/ML and streaming workloads.

Qualifications

• 8–12+ years of IT experience with leadership experience.
• Experience managing enterprise-scale production platforms in regulated environments.
• Strong knowledge of Kubernetes, Docker, AWS, Linux.
• Experience with incident and problem management and ITIL frameworks.

Responsabilités

• Lead cloud operations across Synapxe and NUHS environments.
• Govern Kubernetes and container platform practices at scale.
• Oversee major incident and problem management including RCA.
• Ensure reliability of cloud, data streaming, and AI/ML platforms.
• Maintain security, compliance, and audit readiness per MOH/Synapxe policies.
• Coordinate with stakeholders and vendors across teams.

Connaissances

Kubernetes

AWS

Docker

Hybrid cloud

Linux

CI/CD tooling

Observability/Monitoring

ITIL service management

Stakeholder management

Communication

Analytical thinking

Problem solving

Formation

Bachelor's degree in Computer Science / Computer Engineering / Information Technology

Outils

Kafka

Infrastructure as Code

Terraform/CloudFormation

CI/CD tools

Monitoring tools

Description du poste

National University Health System in Singapore is seeking a Senior Manager of Cloud Operations to lead strategic and operational management of enterprise cloud platforms supporting digital, data and AI initiatives.

You will drive platform reliability, security and scalability across hybrid environments, oversee incident and problem management, and coordinate with clinical and IT stakeholders to enable AI/ML and streaming workloads.