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Site Reliability Engineer

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Site Reliability Engineer in USA

  • ByteDance
  • Full time
  • Email
  • San Jose, CA

Responsibilities

  • Maintain stable operation of machine learning systems supporting large-model development, training, and deployment.
  • Manage and plan GPU, CPU, storage, and related resources, including cost and budget planning.
  • Drive stability governance for clusters and production services while improving resource utilization and operational efficiency.
  • Operate disaster recovery, service deployment, and machine lifecycle management across multiple regions and data centers.
  • Provide operational support and troubleshoot production and system issues.

Requirements

  • At least 1 year of experience in DevOps, SRE, or infrastructure engineering projects.
  • Proficiency in one or two of Go, Python, or Shell in a Linux environment.
  • Experience operating resource management and job scheduling systems for distributed systems.
  • Familiarity with the Kubernetes ecosystem and architecture.
  • Familiarity with containerization technologies such as Docker or Kata.
  • Preferred: hands-on experience operating GPU clusters or machine learning training and inference platforms.
  • Preferred: familiarity with observability tooling, including metrics, logging, and alerting, and with on-call practices.
  • Preferred: contributions to automation or platform tooling that improved resource utilization or operational efficiency.

ByteDance

ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This...

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