Backend Engineer, Ad Tech & Auction Systems

TikTok Inc.; San Jose (CA); On-site; USD 162,000 - 388,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) match

Parental leave

Disability coverage

Life insurance

Wellbeing benefits

10 holidays per year

10 sick days per year

Paid Personal Time

Job summary

TikTok Inc. in the United States is seeking a backend engineer to join the Brand Innovation team, focusing on Premium Reach and Brand Search.

You will own delivery systems from pacing to delivery quality, partnering with Product, Strategy, and cross-functional teams to turn opportunities into scalable product capabilities. You will build, ship, and iterate, using data and experiments to diagnose issues and drive measurable business impact.

Qualifications

• BS/MS in Computer Science, a related field, or equivalent practical experience.
• Strong coding, debugging, and system design fundamentals.
• Proficiency in Go, C/C++, Java, Python, or similar languages.
• Ability to solve ambiguous problems and make clear engineering trade-offs.
• Strong cross-functional communication and collaboration skills.
• Experience with large-scale backend, recommendation, or advertising systems.

Responsibilities

• Build delivery systems across pacing, bidding, auction, traffic allocation, and delivery controls.
• Drive products from concept to launch with Product, Strategy, and XFN partners.
• Turn business goals into scalable delivery strategies and system designs.
• Own technical design, implementation, experimentation, launch, and iteration.
• Use data and experiments to diagnose issues and drive fast iteration.

Skills

Go

C/C++

Java

Python

Education

BS/MS in Computer Science or related field

Job description

TikTok Inc. in the United States is seeking a backend engineer to join the Brand Innovation team, focusing on Premium Reach and Brand Search.

You will own delivery systems from pacing to delivery quality, partnering with Product, Strategy, and cross-functional teams to turn opportunities into scalable product capabilities. You will build, ship, and iterate, using data and experiments to diagnose issues and drive measurable business impact.