Lead Software Engineer, Ads Infra - Scale ML & Data

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 178,000 - 416,000; Full time

Job summary

TikTok USDS Joint Venture LLC is seeking innovative Software Engineers to build scalable ads infrastructure that supports ML and large-scale data processing. You will lead projects across big data frameworks, storage systems and real-time pipelines, collaborating with cross-functional teams to drive engineering impact.

Ideal candidates have 5+ years in big data and a strong CS foundation, plus experience in high-scale ranking and ML infrastructure, and a proven track record of delivering robust

Qualifications

• Bachelor's degree in computer science or related technical disciplines
• 5+ years of hands-on experience in big data processing and storage frameworks (Hadoop, Flink, Spark, Kafka, Hive, HBase, Redis, RocksDB)
• Strong CS fundamentals (coding, algorithms, data structures, software design) and problem-solving skills
• Effective communication skills and a sense of ownership and drive

Responsibilities

• Drive projects committed to building and operating innovative big data computing frameworks and storage systems to empower large-scale Ads serving and machine learning systems
• Communicate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts
• Drive the innovation efforts, and bring in new ideas and technologies

Skills

Big data processing

Algorithms & data structures

Problem solving

Communication

Ownership

Education

Bachelor's degree in Computer Science or related field

Tools

Hadoop

Flink

Spark

Kafka

Hive

HBase

Redis

RocksDB

Job description

TikTok USDS Joint Venture LLC is seeking innovative Software Engineers to build scalable ads infrastructure that supports ML and large-scale data processing. You will lead projects across big data frameworks, storage systems and real-time pipelines, collaborating with cross-functional teams to drive engineering impact.

Ideal candidates have 5+ years in big data and a strong CS foundation, plus experience in high-scale ranking and ML infrastructure, and a proven track record of delivering robust