Job Description

The monetization technology team works on building and running large-scale, globally distributed, fault-tolerant ads systems. SREs keep the systems up and running with the highest level of availability, ensuring our users have the best experience possible.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

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.

Responsibilities:

- Own the reliability of TikTok’s global advertising systems, participate in the design of reliability architecture, and ensure high availability of large-scale advertising systems.

- Design, implement, validate, and continuously optimize global disaster recovery (DR) solutions for the advertising systems, and lead disaster recovery preparedness and incident response.

- Manage and plan infrastructure capacity for the advertising systems, ensuring resources scale efficiently with business growth while continuously improving infrastructure utilization through performance optimization.

- Develop reliability platforms and engineering tools for the advertising systems, including monitoring, alerting, SLO management, risk governance, and resource management.

Minimum Qualifications:

- Individuals who are completing or have recently completed a Bachelor’s/ Master’s degree in Computer Science or a related discipline.

- Expertise in Unix/Linux operating systems, IP networking.

- Experience programming in at least one of the following programming languages: Python, Go, C, C++, or Java.

- Strong analytical and problem-solving skills, a strong sense of ownership, and excellent communication and collaboration skills.

Preferred Qualifications:

- Experience in SRE of ads/recommendation systems.

- Experience designing, analyzing and troubleshooting large-scale distributed systems.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy