Tech Lead AI Infra SRE — Scale Global Reliability

TikTok USDS Joint Venture; Seattle (WA); On-site; USD 198,000 - 416,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company match

Paid parental leave

Job summary

TikTok USDS Joint Venture LLC is seeking a Senior SRE to own reliability for the state-of-the-art Recommendation and Search engines. You will collaborate with engineering and product teams to design, deploy and operate large-scale, globally distributed services, with emphasis on observability and fault tolerance.

You will monitor latency and availability, automate operations, optimize cloud resource usage, and contribute to incident response and postmortems.

Qualifications

• Bachelor's degree in CS or related field with 5+ years of related experience.
• Experience in SRE of large-scale, highly available systems.
• Proficient in Linux and networking; strong debugging skills.
• Experience with distributed systems design and troubleshooting.
• Familiar with CI/CD environments and ownership mindset.

Responsibilities

• Engage in lifecycle of Recommendation and Search systems—from design to launch and refinement.
• Deliver tools to improve reliability, automate operations, and boost R&D efficiency.
• Build availability of large-scale services deployed across global data centers.
• Plan and optimize cloud resource usage to meet SLA for large clusters.
• Measure health, latency, and overall service availability; perform incident postmortems.

Skills

SRE experience

Linux

Networking

Python

Go

C/C++

CI/CD

Ownership & communication

Education

Bachelor's degree in Computer Science or related field

Tools

CI/CD pipelines

Job description

TikTok USDS Joint Venture LLC is seeking a Senior SRE to own reliability for the state-of-the-art Recommendation and Search engines. You will collaborate with engineering and product teams to design, deploy and operate large-scale, globally distributed services, with emphasis on observability and fault tolerance.

You will monitor latency and availability, automate operations, optimize cloud resource usage, and contribute to incident response and postmortems.