Indosat's subsidiary is on a mission to develop the region's leading full-stack AI infrastructure platform. If you're passionate about building at scale, solving complex challenges, and shaping the next generation of AI capabilities, join us for the Head of Data Center Network & Systems.
Key Responsibilities
- Lead the architecture, operations, and performance of data center networks, GPU cluster fabrics, compute systems, and storage platforms.
- Own external connectivity, structured cabling, hardware lifecycle management, and infrastructure scalability across GPU cloud sites.
- Manage strategic OEM/vendor relationships and serve as the primary escalation point for complex hardware and firmware issues.
- Oversee container orchestration, multi-tenant cluster management, and AI/HPC workload scheduling to ensure efficient GPU resource utilization.
- Define and govern monitoring, security, incident management, and capacity planning for network, compute, and storage environments.
- Build and lead a high-performing Network & Systems team while providing regular operational, risk, and capacity updates to senior leadership.
Requirements
- 8+ years in network engineering or systems infrastructure, with 3+ years in a leadership role.
- Strong technical grounding in data center network architecture: switching, routing, and high-performance/low-latency fabric design.
- Direct experience with GPU cluster networking (InfiniBand, RoCE, or similar high-throughput interconnects) or strong HPC networking background.
- 2-3+ years of hands-on exposure to container orchestration and multi-tenant cluster management platforms, and HPC/AI job scheduling systems for GPU workload allocation.
- 2-3+ years of hands-on exposure to high-performance parallel/distributed storage architectures for AI/ML workloads (low-latency, high-throughput storage feeding GPU clusters).
- Experience managing OEM/vendor relationships for server and network hardware, including firmware and support escalation.
- Track record standing up or scaling network/systems operations for hyperscale or AI/GPU cloud deployments.
- Comfortable operating at the interface of vendor contracts, technical engineering, and operations.
Added Advantage
- Experience with specific GPU server reference architectures (e.g., NVIDIA-based platforms) or equivalent hyperscale AI compute deployments.
- APAC/Indonesia data center/network infrastructure market experience.
- Relevant certifications (CCNP/CCIE, or equivalent for high-performance fabric).
