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# Tech Lead, AI Infra Site Reliability Engineer - USDS

- **Company:** Tiktok Usds
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $187,040.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Computer Programming, Continuous Integration, Data Centers, Linux, Distributed Systems, Perl (Programming Language), Fault Tolerance, Python (Programming Language), Recommender Systems, Reliability Engineering, Information Technology, Search Engines, Machine Learning Operations, Golang
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_2f9bf4fba365149bc1183abb1d52bfb7

## About the Role

* Bachelor's degree or above majoring in Computer Science or related fields, with 5+ years of related work experience
 * Experience in SRE of large-scale systems deployment with high reliability and scalability
 * Familiar with system operation skills in Linux and network
 * Experience programming in at least one of the following languages: Python, Perl, Go, or C/C++
 * Experience in designing, analyzing and troubleshooting large-scale distributed systems
 * Familiar with popular CI/CD procedures and environments
 * Effective communication skills and a sense of ownership and drive, * Prior experience in SRE for recommendation systems, search, or advertising platforms
 * Familiarity with the ML lifecycle and inference engines

## Description

About the team: The USDS JV AI Infra SRE team works with engineering and product teams to build and run large-scale, globally distributed, observable, fault-tolerant systems for TikTok state-of-the-art recommendation and search engines. SREs on this team will deliver on production ownership and be responsible for observability and automation across complex, large-scale service mesh architectures.

 * Engage in and improve the whole lifecycle of recommendation and search systems-from system design consulting through to launch reviews, deployment, operation and refinement
 * Deliver tools/software to improve the reliability and scalability of services, automate operations and improve R&D efficiency
 * Build availability of large-scale services deployed across global data centers
 * Plan, manage and optimize cloud resources utilization, ensuring SLA of large-scale clusters
 * Measure and monitor availability, latency and overall service health
 * Practice sustainable incident response and post-mortems