Source description
About the role
Team introduction Our Compute Platform SRE team supports all Big Data services and products across the company. We are a newly established team and waiting for talents like you to shape the team's future together. We are responsible for the reliability of all the company's major data warehouse products, services, and query engines. We serve business needs across domains within TikTok. We look forward to welcoming you to the team.
We are looking for talented individuals to join us for an internship in 2026. Internships at our Company aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at our Company. Internships at Our Company aims to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to Our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). Summer Start Dates: May 11th, 2026 May 18th, 2026 May 26th, 2026 June 8th, 2026 June 22nd, 2026
Online Assessment Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment in HackerRank.
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.
More at TikTok
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