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Reliability Engineer
2 months ago
TikTok stands as a premier platform for short-form mobile video, dedicated to fostering creativity and spreading joy. Our global presence spans numerous cities, reflecting our commitment to innovation and community.
The Trust and Safety Engineering Team is rapidly expanding, focusing on the development of advanced machine learning models and systems aimed at identifying and mitigating internet abuse and fraud on our platform. Our goal is to safeguard billions of users and content creators worldwide on a daily basis.
We leverage cutting-edge machine learning technologies to enhance our trust and safety systems, utilizing the vast amounts of data generated across our platform. Through our team's relentless efforts, TikTok strives to deliver an unparalleled user experience, bringing joy to individuals around the globe.
As part of our team, you will tackle complex scalability challenges while applying your expertise in coding, algorithms, complexity analysis, and large-scale system design. We cultivate a culture that values diversity, intellectual curiosity, openness, and effective problem-solving. Close collaboration is encouraged, alongside a focus on self-direction.
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 responsibilities.
- 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 efficient, automated, and intelligent service-oriented architecture (SOA) governance.
- Ensure sustainable system scalability through automation; enhance system reliability, efficiency, and velocity by advocating for necessary changes.
- Implement sustainable 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 ability to think independently and troubleshoot effectively.
- 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 dedicated to fostering an inclusive environment where employees are appreciated for their skills, experiences, and unique perspectives. Our platform connects individuals globally, and we aim to reflect that diversity within our workplace. We believe that all individuals 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.