Software Engineer, Ads Infra - Serving and Foundation

Tiktok Inc
San Jose, CA, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Data Centers Data Structures Systems Development Life Cycle Software Engineering Systems Integration Computer Network Operations Concurrency Backend Information Technology Software Coding Data Pipelines

Job description

TikTok Ads is helping to power the open internet with the best technology that connects and creates value for millions of advertisers, users, and influencers across the world, driving continuous innovation and significant impact in the digital advertising space. The Ads Infra - Serving and Foundation Team builds advertising systems and integrations that power ads from creation to delivery and the data that influences decisions along the way. This system spans multiple data centers, supports rapid product iterations, and develops key advertising features. As part of our team, you will have excellent opportunities to build the end-to-end Ads system that encompasses the complete lifecycle, including massive data gathering and processing, highly concurrent, high-performance, and highly scalable advertising delivery architecture, etc.

Responsibilities

  • Building and operating scalable and reliable ads serving infrastructure systems.
  • Communicate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts.
  • Lead innovation efforts, and bring in new ideas and technologies. Minimum Qualifications

Requirements

Software Engineering, Data Collection, Network Operations Center, Advertising, Product Support, System Integration (SI), Concurrency, Scalable System Development, Cross-Functional, Computer Science, * Bachelor s degree in computer science or related technical disciplines.

  • Working experience and extensive knowledge of modern software tech stack, including large-scale backend systems, and data pipelines.
  • Strong Computer Science fundamentals (algorithms, data structures, software design), coding skills and problem-solving skills.
  • Curiosity towards new technologies and entrepreneurship.

Preferred Qualifications:

  • Experience in the Ads domain.
  • Experience with building large-scale ads serving infrastructure.

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