Tech Lead & AI Infra SRE — Scale Reliability Leader

TikTok USDS Joint Venture LLC; Seattle (WA); On-site; USD 160,000 - 210,000; Full time

Job summary

TikTok USDS Joint Venture LLC is seeking a Tech Lead for AI Infra Site Reliability Engineering in Seattle. The role focuses on building and running large-scale, globally distributed, observable systems for TikTok's AI-driven recommendations and search platforms.

Responsibilities include lifecycle ownership, tooling for reliability, and incident response. On-site work is required, with a strong emphasis on performance, scalability, and cross-functional collaboration.

Qualifications

• Bachelor's degree or above in Computer Science or related field; 5+ years of related work experience
• Experience in SRE of large-scale systems deployment with high reliability and scalability
• Familiar with Linux and network operations
• Programming in Python, Perl, Go, or C/C++
• Experience designing, analyzing and troubleshooting large-scale distributed systems
• Familiar with CI/CD procedures and environments
• Effective communication skills and a sense of ownership and drive

Responsibilities

• Engage in and improve the whole lifecycle of Recommendation and Search systems—from design through launch, deployment, operation and refinement
• Deliver tools/software to improve 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 postmortems

Skills

Linux

Networking

Python

Perl

Go

C/C++

CI/CD

Distributed systems

SRE

Ownership

Education

Bachelor's degree in CS or related field

Job description

TikTok USDS Joint Venture LLC is seeking a Tech Lead for AI Infra Site Reliability Engineering in Seattle. The role focuses on building and running large-scale, globally distributed, observable systems for TikTok's AI-driven recommendations and search platforms.

Responsibilities include lifecycle ownership, tooling for reliability, and incident response. On-site work is required, with a strong emphasis on performance, scalability, and cross-functional collaboration.