Site Reliability Engineer, Platform Responsibility - USDS

Team Intro

The Platform Responsibility engineering team is fast growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. Our mission is to protect billions of users and publishers across the globe every day. We embrace state‑of‑the‑art machine learning technologies and scale them to detect and improve trust and safety systems using the tremendous amount of data generated on the platform.

With the continuous efforts from our team, Tik Tok USDS is able to provide the best user experience and bring joy to everyone in the world.

• Manage day‑to‑day operations of data service, realtime/batch data pipelines, such as SLA/SLO/SLI management, system deployment, performance tuning and troubleshooting.
• Design and deploy AI Agents and LLM‑powered automation to streamline incident response, root cause analysis, and proactive system monitoring.
• Create tools and automation to improve system administration and operational efficiency, leveraging AI‑assisted development tools to accelerate delivery and code quality.
• Engage in and improve the whole lifecycle of services from inception and design, development, capacity planning, and launch reviews, to deployment, operation, and refinement.
• Practice sustainable user support, incident response, and post‑mortem.
• Provide 24/7 support and work scheduled shifts, which may include holidays.

• Bachelor or above degree in computer science or a related technical discipline.
• At least 1 year of industrial experience.
• Experience integrating AI/LLM APIs into internal workflows or infrastructure tooling.
• Demonstrated independent thinking capabilities and troubleshooting skills.
• Familiar with Unix/Linux system internals, networking, and distributed systems.
• Expertise in monitoring tools (e.g., Prometheus, Grafana, Data Dog) and fundamental observability approaches.

• In‑depth knowledge of Unix/Linux systems, networking fundamentals and system performance tuning.
• Familiar with backend systems such as MySQL, Redis, Nginx, Kafka, Kubernetes, Docker and big data technologies such as Hadoop, Spark, Flink, Hive, OLAP, Click House, etc.

USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

Compensation (Annually):
The base salary range for this position in the selected city is $129,960 – $246,240 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work; this role may also be eligible for additional discretionary bonuses, incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day‑one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short‑term and long‑term disability coverage, life insurance, wellbeing benefits, and others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Self‑mentioned criminal history may have a negative impact on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues.
• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems.
• Exercising sound judgment.