Graduate Production Systems Engineer: Linux & AI Infra

ByteDance; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

ByteDance in New York is seeking a Production Systems Engineer to join the Infrastructure team. You will manage end-to-end server lifecycles, from provisioning to decommissioning, across our data centers with a focus on Linux systems, automation, and AI-enabled tooling.

You will develop automation, monitor hardware and software health, and collaborate with multiple engineering groups to improve reliability and efficiency in large-scale environments.

Qualifications

• Bachelor's or Master's degree in CS/Engineering/IT or related field.
• Experience in systems engineering, infrastructure operations, DevOps, or SRE roles.
• Solid Linux administration and troubleshooting (Debian/Ubuntu preferred).
• Programming or scripting in Python, Bash, Go, or similar.

Responsibilities

• Server Infrastructure Operations: deploy, validate, monitor, and manage large-scale server fleets.
• Automation Development: build scripts and tools to reduce manual work and improve efficiency.
• Linux Systems: troubleshoot OS, hardware, storage, networking, and performance issues.
• GPU and AI Infrastructure: support GPU platforms and AI tooling for operations.
• Monitoring and Data Analysis: analyze health metrics to find risks and improvements.
• AI for Infrastructure Operations: explore LLM applications for automation and knowledge management.
• Collaborate across cross-functional teams with strong communication.

Skills

Analytical skills

Troubleshooting

Communication skills

Cross-functional collaboration

Education

Bachelor's or Master's in CS/Engineering/IT

Tools

Git

Docker

Kubernetes

REST APIs

SQL

Ansible

Job description

ByteDance in New York is seeking a Production Systems Engineer to join the Infrastructure team. You will manage end-to-end server lifecycles, from provisioning to decommissioning, across our data centers with a focus on Linux systems, automation, and AI-enabled tooling.

You will develop automation, monitor hardware and software health, and collaborate with multiple engineering groups to improve reliability and efficiency in large-scale environments.