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Reliability Engineering Specialist
2 months ago
TikTok stands as a premier platform for short-form mobile video, dedicated to fostering creativity and delivering joy. Our global presence spans numerous cities, enhancing our mission to protect users and content creators worldwide.
The Trust and Safety Engineering Team is rapidly expanding, tasked with developing advanced machine learning models and systems aimed at combating internet abuse and fraud on our platform. Our commitment is to safeguard billions of users and publishers daily.
Utilizing cutting-edge machine learning technologies, we analyze vast amounts of data generated on our platform to enhance our trust and safety systems. Through our ongoing efforts, TikTok strives to provide an exceptional user experience, bringing joy to individuals globally.
In this role, you will tackle complex challenges associated with scalability, leveraging your expertise in coding, algorithms, complexity analysis, and large-scale system design. We cultivate a culture characterized by diversity, intellectual curiosity, openness, and effective problem-solving, encouraging collaboration while promoting autonomy.
Key Responsibilities- Oversee daily operations of data services and real-time/batch data pipelines, including SLA management, system deployment, performance optimization, and troubleshooting.
- Develop tools and automation to enhance system administration and operational efficiency.
- Participate in regular on-call duties to ensure system reliability.
- Engage in and refine the entire service lifecycle, from inception and design through development, capacity planning, launch reviews, deployment, operation, and continuous improvement.
- Design and implement software platforms and monitoring frameworks for effective, automated, and intelligent service-oriented architecture (SOA) governance.
- Ensure sustainable system scalability through automation; drive improvements in system reliability, efficiency, and speed.
- Practice responsible user support, incident response, and conduct blameless postmortems.
- Bachelor's degree in Computer Science or a related field, with a minimum of 3 years of relevant experience.
- Proven independent thinking and troubleshooting capabilities.
- Proficiency in programming languages such as Python, Go, C, C++, Java, or Rust.
- Familiarity with backend systems including MySQL, Redis, Nginx, Kafka, Kubernetes, Docker, and big data technologies like Hadoop, Spark, Flink, Hive, OLAP, and ClickHouse.
- Understanding of Unix/Linux system internals, networking, and distributed systems.
- Strong communication and coordination skills.
- Experience in Trust & Safety is advantageous.
TikTok is devoted to fostering an inclusive environment where employees are recognized for their skills, experiences, and unique perspectives. Our platform connects individuals globally, and we aim to reflect the diverse communities we serve. We believe that every individual should be evaluated based on their strengths and experiences, regardless of their background or identity.
We are committed to providing reasonable accommodations throughout our recruitment process.
