Production Systems Engineer: Linux, Automation & AI Infra

ByteDance

Greater London

On-site

GBP 70,000 - 110,000

Full time

12 days ago
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Job summary

ByteDance is seeking a hands-on Production Systems Engineer to own Linux-based server infrastructure, automation, and production operations. You will contribute across large-scale deployments, performance tuning, and cross-functional projects in a global data-center environment.

The role suits engineers from early-career to senior levels and offers growth in complex, cross-region infrastructure initiatives. Strong scripting and problem-solving are essential.

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, IT, or a related field.
  • 2 years in systems engineering, infra operations, DevOps, SRE, or related roles.
  • Strong Linux administration and troubleshooting fundamentals.
  • Programming or scripting in Python, Bash, Go, or similar for automation.
  • Hands-on troubleshooting in Linux-based environments (system/hardware).
  • Strong analytical and problem-solving skills with quick learnability.

Responsibilities

  • Deploy, validate, monitor, and maintain large-scale server fleets (CPU/GPU).
  • Develop scripts and automation to reduce manual work.
  • Troubleshoot Linux-based production environments (OS, hardware, storage, networking).
  • Gain exposure to AI infrastructure and GPU server platforms; contribute tooling and monitoring.
  • Analyze server health and operational metrics to identify risks and improvements.
  • Create and improve technical documentation and SOPs.
  • Collaborate with cross-functional teams on global infrastructure projects.

Skills

Linux
Scripting
Python
Go
Troubleshooting
Communication

Education

Bachelor's degree in CS/Engineering/IT

Tools

Docker
Kubernetes
Redfish
BIOS/UEFI
Firmware

Job description

ByteDance is seeking a hands-on Production Systems Engineer to own Linux-based server infrastructure, automation, and production operations. You will contribute across large-scale deployments, performance tuning, and cross-functional projects in a global data-center environment.

The role suits engineers from early-career to senior levels and offers growth in complex, cross-region infrastructure initiatives. Strong scripting and problem-solving are essential.

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