Lead AI Platform Engineer - Enterprise AI on Kubernetes

Singtel

Singapore

Hybrid

Confidential

Full time

7 days ago
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Job summary

Singtel is seeking a senior Platform Engineer to lead the Central AI Kitchen's evolved AI platform efforts on Kubernetes/OpenShift. You will drive secure connectivity between AI agents and enterprise tools, while guiding a hybrid team spanning Singapore and India.

Responsibilities include designing reusable platform patterns, implementing security controls, and coordinating cross-geo delivery to accelerate AI platform maturity and enterprise-wide adoption.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering or related field.
  • 8+ years in platform engineering, cloud-native infrastructure or AI platforms.
  • Experience on Kubernetes/OpenShift platforms.
  • Experience designing or integrating enterprise APIs, gateways and identity platforms.
  • Experience leading platform component implementations and engineering teams.
  • Experience coordinating delivery across multiple engineers and locations.

Responsibilities

  • Lead implementation and lifecycle management of assigned platform services.
  • Design and operate MCP servers and gateway capabilities for standardized connectivity.
  • Implement agent identity/authentication with secure interactions across tools and services.
  • Operate an enterprise agent registry with governance and lifecycle status.
  • Establish onboarding patterns and standards for agents, MCP servers, and APIs.
  • Ensure security controls including authentication, authorization and secrets management.
  • Coordinate delivery across Singapore and India with cross-functional teams.

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Job description

Singtel is seeking a senior Platform Engineer to lead the Central AI Kitchen's evolved AI platform efforts on Kubernetes/OpenShift. You will drive secure connectivity between AI agents and enterprise tools, while guiding a hybrid team spanning Singapore and India.

Responsibilities include designing reusable platform patterns, implementing security controls, and coordinating cross-geo delivery to accelerate AI platform maturity and enterprise-wide adoption.

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