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PT Digdaya Duta Digital is seeking a System Engineer Staff to design, deploy, and optimize IT infrastructure in Setiabudi, Jakarta. You will manage Linux servers, virtualization, storage, networks, and GPU environments while supporting AI workloads and model deployment.
You will collaborate with Network, Development, AI Engineering, and DevOps teams to ensure reliable, secure, and scalable systems that power digital initiatives.
PT Digdaya Duta Digital is seeking a skilled System Engineer Staff to join our growing technology team. This is a full-time position based in Setiabudi, Jakarta.
In this role, you will be responsible for designing, implementing, managing, and optimizing the company's IT infrastructure, including Linux servers, virtualization platforms, storage systems, network infrastructure, and GPU computing environments.
Your focus will be to ensure the reliability, security, scalability, and performance of our IT infrastructure while supporting AI workloads, model deployment, and inference services.
You will collaborate closely with Network, Development, AI Engineering, and DevOps teams to support infrastructure operations and the company's ongoing digital initiatives.
Requirements :
Diploma (D3) or Bachelor's Degree (S1) in Information Technology, Computer Science, Computer Engineering, Information Systems, Network Engineering, or a related field.
Minimum 3–5 years of experience in System Engineering, System Administration, or IT Infrastructure.
Strong knowledge of Linux server administration and system management.
Hands‑on experience in managing server infrastructure, virtualization platforms, and storage systems.
Good understanding of IT infrastructure security, system monitoring, and troubleshooting.
Strong analytical thinking and problem‑solving skills.
Ability to work independently as well as collaboratively within a team.
Key responsibilities :
Administer, configure, and maintain Linux servers, virtualization platforms, storage systems, databases, and application services in production environments.
Deploy, configure, and maintain GPU computing infrastructure, including device drivers, GPU computing libraries, runtime dependencies, and GPU resource management.
Support AI model deployment, inference services, and containerized AI workloads across development and production environments.
Monitor and optimize CPU, RAM, GPU utilization, video memory (VRAM), storage, and application performance to ensure efficient resource utilization.
Implement and maintain infrastructure monitoring, alerting, security hardening, patch management, backup, and disaster recovery procedures.
Perform advanced troubleshooting, incident resolution, root cause analysis (RCA), and preventive maintenance to ensure system reliability.
Automate infrastructure provisioning, routine administration, and deployment processes using scripting, configuration management, and version control tools.
Collaborate with Network, Development, AI Engineering, and DevOps teams to ensure reliable infrastructure operations and production services.
Maintain technical documentation, standard operating procedures (SOPs), capacity plans, and operational reports in accordance with company standards.