AI Infrastructure​/Platform Engineer

THIS JOB OPPORTUNITY IS FOR OUR PARTNERING COMPANY,
SERTIS INDONESIA

[About Sertis Teknologi Indonesia]

Sertis Teknologi Indonesia builds AI and data solutions for enterprises in Indonesia. We apply leading-edge research and practices to push the boundaries of what AI can do, turning them into practical, innovative solutions for our clients. We also run our own on-premise AI platform, so clients, including those in regulated industries, can use advanced AI while their data stays private and under their control.

[About the Role]

We are looking for an AI Infrastructure / Platform Engineer to build, operate, and maintain our on-premise AI platform, powered by high-performance GPU servers in a data centre.

In this role, you will take ownership of the platform end to end, from preparing physical servers and configuring system environments to deploying AI systems and applications, maintaining infrastructure security, optimizing performance, and supporting clients in production.

We are looking for someone who is passionate about hardware, understands how software runs on physical systems, has a solid foundation in networking, and enjoys solving technical challenges while delivering reliable services to clients.

[Key Responsibilities]

• GPU Server Setup & Management: Prepare and configure servers after hardware installation, including operating systems, user permissions, secure access, firewalls, storage, software RAID, and disk encryption. Maintain GPU drivers, CUDA, container runtimes, and related system components.
• System & Application Deployment: Deploy, configure, and maintain systems and applications, primarily AI-related workloads, on the on-premise platform. Manage containerized deployments, application updates, versioning, and rollbacks while ensuring secure connectivity and appropriate firewall configurations.
• Monitoring & Observability: Build and maintain monitoring systems, dashboards, and alerts for GPU utilization, server health, network performance, and application services. Establish performance baselines and identify potential issues before they affect clients.
• Performance Optimization: Conduct load and performance testing, assess platform capacity, and improve system reliability, application responsiveness, and GPU utilization within data centre power and cooling constraints.
• Troubleshooting & Incident Management: Diagnose and resolve issues across hardware, operating systems, storage, networks, and applications. Identify root causes, document solutions, and maintain clear operational procedures.
• Client Onboarding & Technical Support: Support client onboarding, access provisioning, API key management, data separation, and usage limits. Act as a technical point of contact, provide technical consultations and usage reports, and help resolve incidents in line with agreed service levels.
• Security & Infrastructure Operations: Maintain access controls, logging, encryption, backups, and security documentation. Coordinate with hardware vendors and data centre providers on maintenance, repairs, warranties, and infrastructure requirements.

[Main Requirements]

• Are enthusiastic and passionate about computer hardware
  , particularly GPUs, CPUs, and server infrastructure.
• Understand how to install, configure, and run software on physical hardware, from operating systems and system services to applications.
• Have experience managing
  Linux servers in production
  , with a solid understanding of SSH, storage, networking, and security hardening.
• Have hands‑on experience with GPU servers, including drivers, CUDA, and troubleshooting. Experience with AI workloads or large language model deployment is a plus.
• Understand the fundamentals of networking, connectivity, firewalls, and network security.
• Are…