Information Technology Infrastructure Operations Manager

About the role

An experienced IT infrastructure and operations professional is sought to build and manage overseas infrastructure and large-scale embodied AI and robotics clusters. The role covers infrastructure operations, cloud-native platform development, enterprise IT and security, ensuring reliable and scalable infrastructure for global business expansion. The position is based in Singapore long-term or involves international travel.

Key responsibilities

• Build and manage operations systems for large-scale overseas embodied AI and robotics clusters, overseeing device onboarding, remote management, computing resource scheduling, OTA updates, monitoring, fault diagnosis and automated recovery.
• Design and implement cloud-native infrastructure (Kubernetes, containers, microservices), CI/CD pipelines, automated deployment, elastic scaling and observability (monitoring, alerting, logging, distributed tracing).
• Manage corporate IT infrastructure, including office networks, end-user devices and collaboration systems, and set up IT asset management, support processes and service response mechanisms.
• Build enterprise-wide security frameworks covering network, endpoint and application security, identity and access management, vulnerability management, penetration testing and incident response, and data security across the data lifecycle; drive MLPS and ISO 27001 compliance.
• Establish infrastructure operations and SRE standards, processes, KPIs and emergency response mechanisms, develop automation tools and lead and develop the operations team.

Required profile

• Bachelor's degree or above, with 5+ years of experience in IT infrastructure, SRE, DevOps or related fields, including 2+ years of team management.
• Proven experience managing large-scale device or computing clusters, with knowledge of edge computing, remote device management and OTA mechanisms.
• Practical experience in network security, cybersecurity operations, data security and security compliance.
• Professional English communication skills and willingness to be based in Singapore long-term or travel internationally.
• Nice to have: experience with AI computing clusters (GPU/NPU), embodied AI, robotics or large-scale IoT device fleets, and implementing MLPS and ISO 27001.

Required skills

• Kubernetes, container technologies and cloud-native ecosystems
• CI/CD, monitoring and observability, Infrastructure as Code (IaC)
• Automated operations toolchains