About the position

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.

Responsibilities

  • Responsible for the reliability of all TikTok's major data warehouse products, services, and query engines, such as ClickHouse, Spark, Presto, Doris, etc.
  • Uphold Service Level Agreements (SLAs): Ensure that all service level objectives and agreements from ByteDance's Data Platform services are met. Respond promptly to any system outages or issues.
  • Continuous Performance Optimization: Analyze service performance and reliability patterns to identify potential performance bottlenecks. Implement proactive measures to prevent service disruptions. Work with development teams to optimize application performance, ensuring that services run efficiently and that resources are utilized effectively.
  • Incident Management: Lead efforts to troubleshoot and resolve service incidents and postmortems. Coordinate with cross-functional teams to manage and mitigate service-impacting events.
  • Infrastructure Automation: Automate infrastructure provisioning, scaling, and management processes to reduce manual interventions and improve service quality.
  • Collaboration: Engage with product and development teams to integrate reliability and performance considerations into the software lifecycle.
  • Capacity and Demand Planning: Assess and forecast infrastructure needs based on growth patterns and upcoming initiatives.
  • Stay Updated: Keep current with industry trends, best practices, and emerging technologies related to site reliability and infrastructure engineering.
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