jobs in ITCAN PTE. LIMITED

全职 Lead AI Platform Network - Security Engineer 工作, 薪水 up to SGD 8,000, ITCAN PTE. LIMITED Central Region (Singapore) 公司招聘中 - Ricebowl

Lead AI Platform Network - Security Engineer

ITCAN PTE. LIMITED

SGD8,000 - SGD8,000 每月

Central Region (Singapore)

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工作地点

  • 30 CECIL STREET Central Region (Singapore) Singapore

职位描述

岗位职责

Position Summary

  • Lead the design, implementation and operations of secure, resilient and scalable network and connectivity architecture for  Central AI Platform hosted on RE:AI IaaS.
  • Establish and manage end-to-end connectivity across multi-cloud, on-premises systems, external SaaS platforms and API endpoints to enable enterprise AI use cases.
  • Oversee network capacity planning, redundancy design, performance optimization and lifecycle management to support platform growth and commercialization.
  • Ensure robust security architecture including firewall policies, segmentation, secure access controls and alignment with cybersecurity and DevSecOps standards.
  • Serve as the primary technical authority for networking and security architecture of the AI platform, coordinating across RE:AI, Cloud, Cybersecurity, Infrastructure and Application teams.
  • Enable a secure-by-design, scalable and high-availability network foundation to support enterprise-grade AI workloads and future expansion.

Make an Impact by:

  • Designing and implementing hybrid connectivity architecture across RE:AI IaaS, public cloud platforms, on-prem environments and external partners for AIDA’s Central AI Platform.
  • Defining network segmentation, routing, peering, VPN, Direct Connect/ExpressRoute and API gateway patterns to enable seamless AI workload connectivity.
  • Ensuring high availability, fault tolerance and redundancy across critical AI platform components.
  • Leading firewall design, configuration standards, access control models and network security zoning.
  • Implementing secure connectivity patterns including Zero Trust principles, encryption in transit and privileged access controls.
  • Coordinating with Cybersecurity and DevSecOps teams on vulnerability management, security monitoring and incident response.
  • Overseeing setup and maintenance of physical connectivity (e.g., cross-connects, colocation, data center interconnects).
  • Monitoring bandwidth utilization, latency, throughput and network health, and executing proactive capacity expansion.
  • Establishing network operations procedures, change management controls and escalation processes.
  • Overseeing troubleshooting of connectivity and security incidents across hybrid environments.
  • Acting as the central coordination point across internal teams and external partners.

Skills for Success:

Qualifications & Certifications

  • Bachelor’s degree in Computer Engineering, Network Engineering, Computer Science, Information Security or related discipline.
  • Professional networking certifications (e.g., CCNP/CCIE, AWS/Azure/GCP Networking Specialty).
  • Security certifications (e.g., CISSP, CISM) are advantageous.

Experience

  • 5–10 years of experience in enterprise networking, hybrid cloud connectivity or infrastructure architecture.
  • Proven experience designing and operating secure hybrid environments (cloud + on-prem).
  • Hands-on experience with firewall configuration, network segmentation and secure access models.
  • Experience in network capacity planning and high-availability architecture.
  • Experience working with cybersecurity and DevSecOps teams in regulated environments.
  • Familiarity with RedHat OpenShift networking and security is a plus.

Technical Skills

  • Strong knowledge of TCP/IP, routing protocols, BGP, SD-WAN, VPN, MPLS and data center networking.
  • Experience with cloud networking architectures (AWS, Azure, GCP or equivalent).
  • Deep understanding of firewall policies, IDS/IPS, network segmentation and Zero Trust frameworks.
  • Knowledge of API security, secure integration patterns and encryption standards.
  • Familiarity with network monitoring tools, SIEM integration and performance analytics.
  • Exposure to AI workload connectivity and security concepts is advantageous.

Soft Skills

  • Strong systems thinking and architectural mindset.
  • Ability to balance security, performance and cost considerations.
  • Strong stakeholder management across cross-functional teams.
  • Ability to communicate complex technical concepts to both technical and non-technical audiences.
  • Proactive risk identification and mitigation capability.

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