Ads Backend Engineer: Low-Latency, High-Throughput

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Savings Plan With Company Match

Paid Parental Leave

Short-term Disability Coverage

Long-term Disability Coverage

Life Insurance

Wellbeing Benefits

Paid Holidays

Paid Sick Days

Paid Personal Time

Restricted Stock Units

Job summary

TikTok USDS Joint Venture invites engineers to design and implement highly available, low-latency ad-serving systems that maximize monetization. You will develop core algorithms for ad recall, ranking, and bidding while building analytical tools to monitor campaign performance.

The role requires a Bachelor's degree in Computer Science and 3+ years of experience with large-scale backend systems, data pipelines, and strong fundamentals in algorithms, data structures, and software design.

Qualifications

• Requires a Bachelor's degree in Computer Science and at least 3 years of experience with large-scale backend systems and data pipelines.
• Candidates must have strong fundamentals in algorithms, data structures, and software design.

Responsibilities

• Design and implement highly available, low-latency ad-serving systems.
• Optimize delivery strategies to maximize monetization and build analytical tools for campaign performance monitoring.
• Develop core algorithms for ad recall, ranking, and bidding.

Skills

System Architecture

Backend Development

Data Pipelines

Algorithms

Data Structures

Software Design

Performance Optimization

Debugging

Ad-Serving Systems

Low-latency Systems

High-throughput Systems

Analytical Tools

Cross-functional Leadership

Project Execution

Bidding Algorithms

Traffic Allocation

Education

Bachelor's degree in Computer Science

Job description

TikTok USDS Joint Venture invites engineers to design and implement highly available, low-latency ad-serving systems that maximize monetization. You will develop core algorithms for ad recall, ranking, and bidding while building analytical tools to monitor campaign performance.

The role requires a Bachelor's degree in Computer Science and 3+ years of experience with large-scale backend systems, data pipelines, and strong fundamentals in algorithms, data structures, and software design.