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.
About 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 is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users. We have over 110,000 employees based in more than 30 countries globally. Join us.