<p>Team Introduction The Site Reliability Engineering (SRE) team at TikTok combines software and systems engineering to build and run large-scale, massively distributed, and fault-tolerant systems. Our team is dedicated to ensuring that TikTok's core services remain stable, efficient, and resilient at a global scale. We focus on enhancing the observability and operability of our infrastructure, using data-driven insights to safeguard business stability 24/7.</p> <p>Responsibilities As a Site Reliability Engineer, you will be responsible for the end-to-end reliability of our production ecosystem. You will balance traditional SRE functions-such as automation and performance tuning-with a specialized focus on disaster recovery and rapid incident response.</p> <ul> <li>System Design & Optimization: Participate in the full lifecycle of high-concurrency distributed systems. Collaborate with development teams to ensure services are designed for scalability, reliability, and high availability. </li><li>Automation & Efficiency: Build and maintain robust automation tools to eliminate "toil," streamline service deployments, and manage infrastructure as code. </li><li>Observability & Monitoring: Develop and refine monitoring, alerting, and logging systems (SLIs/SLOs) to provide deep visibility into service health and performance. </li><li>Disaster Recovery (DR) & Resilience: Lead the design, implementation, and execution of global disaster recovery drills. You will simulate complex failure scenarios and validate failover mechanisms to ensure the platform remains operational under extreme conditions. </li><li>Incident Management & Response: Serve as a key responder for high-priority production incidents. You will coordinate cross-functional "war rooms," drive technical troubleshooting, and lead the path to service restoration. </li><li>Continuous Improvement: Facilitate blameless post-mortems and perform root-cause analysis (RCA). You will transform incident insights into engineering requirements to harden our systems against future outages. </li><li>Capacity Planning: Manage resource allocation and performance bottlenecks to ensure the platform can handle organic growth and massive traffic surges.Minimum Qualifications: </li><li>Bachelor's degree in Computer Science, related technical field, or equivalent practical experience. </li><li>Proficiency in one or more programming languages (e.g., Go, Python, Java, or C++). </li><li>Strong understanding of Linux system internals, networking (TCP/IP, DNS, Load Balancing), and distributed systems. </li><li>Experience managing containerized environments (e.g., Kubernetes, Docker). </li></ul> <p>Preferred Qualifications:</p> <ul> <li>Proven experience in a high-traffic production environment with a focus on incident response and site stability. </li><li>Hands-on experience with Disaster Recovery strategies, including multi-region failover and data consistency in distributed databases. </li><li>Familiarity with observability and monitoring tools. </li><li>Experience with Infrastructure as Code. </li></ul>