Global Data Center SRE | Reliable Infrastructure

ByteDance

San Jose (CA)

On-site

USD 210,000 - 330,000

Full time

10 days ago

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Job summary

ByteDance is seeking a self-motivated system engineer with an SRE mindset and DevOps skills to own and improve the reliability of foundational data-center services across global regions. You will manage large-scale Linux host infrastructure, standardize configurations, and monitor fleet health.

You will design deployment architectures, implement high-availability patterns, and drive post-incident analyses to continuously enhance reliability.

Qualifications

  • Solid experience in large-scale Linux host management and fleet operations.
  • Hands-on knowledge of core data center services: DNS, NTP, DHCP, NAT, and Kerberos.
  • Familiarity with SRE principles, SLO/SLI, and post-mortems.
  • Experience with DevOps tooling and configuration management.

Responsibilities

  • Manage and maintain large-scale host infrastructure across ByteDance's non-China data centers.
  • Own reliability of core services (DNS, NTP, DHCP, NAT, APT repository, Kerberos).
  • Design deployment architectures ensuring high availability and disaster recovery.
  • Develop and enforce SLOs; lead incident response and RCA/post-mortems.
  • Collaborate with network, security, and application teams to meet growth demands.
  • Identify automation opportunities to reduce toil and improve efficiency.

Skills

SRE mindset
DevOps
Linux system administration
Troubleshooting

Education

Bachelor’s degree or higher in Electrical Engineering, Computer Engineering, Computer Science or related majors

Tools

Ansible
Salt
Puppet
CI/CD pipelines

Job description

ByteDance is seeking a self-motivated system engineer with an SRE mindset and DevOps skills to own and improve the reliability of foundational data-center services across global regions. You will manage large-scale Linux host infrastructure, standardize configurations, and monitor fleet health.

You will design deployment architectures, implement high-availability patterns, and drive post-incident analyses to continuously enhance reliability.

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