AI Infrastructure Engineer (SME)

Lewis Personnel Management; Jakarta Pusat; On-site; IDR 9,999,999,999; Full time

Job summary

Lewis Personnel Management is seeking an experienced L3 Technical Subject Matter Expert (AI Compute) to oversee operations across high-density AI/GPU data center environments in Karawang and Jakarta, Indonesia. The role places you as the senior escalation point, driving root cause analysis and coordinating with OEMs to resolve hardware issues.

You will lead automation using Python and Ansible, optimize infrastructure for reliability and scalability, and manage Slurm-based workloads while

Qualifications

• 8+ years hands-on experience in AI infrastructure or HPC.
• Proficient in Python and Ansible scripting.
• Deep knowledge of Slurm workload manager.
• Experience with Linux system administration and data center ops.
• Experience with OEM hardware escalations and vendor coordination.

Responsibilities

• Lead RCA investigations and incident resolution for AI/GPU compute clusters.
• Develop automation via Python and Ansible to streamline operations.
• Optimize architecture, perform CAPA, and improve performance.
• Manage cluster workloads and GPU resource allocation with Slurm.
• Coordinate with OEMs and vendors to address hardware issues.
• Provide onsite engineering support and ensure service reliability against SLOs.

Skills

Python

Ansible

Slurm

Linux

Tools

Kubernetes

Docker

Job description

Location: Karawang or Jakarta, Indonesia
Work Setup: Full onsite
Employment Type: Full-time
Experience Required: 8+ years

About the Role

We are seeking an experienced L3 Technical Subject Matter Expert (AI Compute) to oversee technical operations across high-density AI/GPU data center environments in Karawang and Jakarta, Indonesia.

As the senior technical escalation point, you will lead complex root cause investigations, resolve critical infrastructure issues, automate operational processes, and coordinate with Original Equipment Manufacturers (OEMs) to address hardware and architectural defects. You will play a key role in maintaining the reliability, scalability, and performance of AI compute infrastructure.

Key Responsibilities

Technical Escalation and RCA: Lead investigations and resolution of complex infrastructure incidents, performance bottlenecks, and hardware or software failures across AI/GPU compute clusters.

Automation and Configuration Management: Develop Python and Ansible scripts to streamline operational workflows, automate system provisioning, and support infrastructure lifecycle activities.

Infrastructure Optimization: Identify architectural weaknesses, implement permanent corrective and preventive actions (CAPA), and improve system capacity, performance, and reliability.

Cluster and Workload Management: Support and optimize compute environments, including Slurm-based job scheduling, workload distribution, and GPU resource allocation.

OEM and Vendor Coordination: Manage advanced technical escalations and collaborate with OEMs and technology partners to resolve hardware and infrastructure issues.

Onsite Technical Support: Provide hands‑on engineering support, troubleshooting, and lifecycle management within high-density data center environments.

Service Reliability: Monitor infrastructure performance against Service Level Objectives (SLOs) and recommend improvements to maintain service quality and operational efficiency.

Minimum Qualifications and Experience

At least 8 years of hands‑on experience in AI infrastructure, Linux systems administration, High-Performance Computing (HPC), Kubernetes/Slurm, or platform engineering.

Strong proficiency in Python and Ansible for scripting, automation, and configuration management.

In‑depth knowledge of Slurm, including job scheduling, workload management, and GPU cluster orchestration.

Solid understanding of Linux systems, compute infrastructure, and data center operations.

Proven experience in Root Cause Analysis (RCA), capacity planning, and infrastructure performance tuning.

Hands‑on experience managing OEM hardware escalations and coordinating with external vendors.

Background in AI/GPU infrastructure or large‑scale compute environments is highly advantageous.

Strong analytical, troubleshooting, and problem‑solving skills.

Language Requirements

English: Professional or full professional proficiency is required.

Mandarin: Working proficiency to fluency is strongly preferred, particularly for technical discussions with senior stakeholders and vendor partners.

Work Arrangement

Full-time, onsite position.

Candidates must be willing to work onsite in either Karawang or Jakarta, Indonesia.