Ads Infra Tech Lead: Big Data & ML Systems

TikTok USDS Joint Venture LLC; San Jose (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

TikTok USDS Joint Venture LLC is seeking a Tech Lead Software Engineer for Ads Infra, Big Data. The role centers on building scalable data infrastructure to support ads, ML, and ranking at a massive scale. You will drive critical projects and coordinate with cross-functional teams across the organization.

The position requires strong CS fundamentals, 5+ years in big data, and a track record of ownership and communication. On-site work is expected as part of a shift to in-person collaboration.

Qualifications

• Bachelor's degree or above in CS 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 Computer Science fundamentals (coding, algorithms, data structures, software design) and problem-solving skills.
• Effective communication skills and a sense of ownership and drive.
• Experience in Ads domain and large-scale ranking and machine learning infrastructure preferred.

Responsibilities

• Drive projects committed to building and operating innovative big data computing frameworks and storage systems for Ads serving and ML systems.
• Communicate cross-functionally across teams, organizations and stakeholders to drive engineering efforts.
• Drive innovation efforts and bring in new ideas and technologies.

Skills

Big data processing

Algorithms

Data structures

Software design

Problem solving

Communication

Ownership

Education

Bachelor's degree in Computer Science

Tools

Hadoop

Flink

Spark

Kafka

Hive

HBase

Redis

RocksDB

Job description

TikTok USDS Joint Venture LLC is seeking a Tech Lead Software Engineer for Ads Infra, Big Data. The role centers on building scalable data infrastructure to support ads, ML, and ranking at a massive scale. You will drive critical projects and coordinate with cross-functional teams across the organization.

The position requires strong CS fundamentals, 5+ years in big data, and a track record of ownership and communication. On-site work is expected as part of a shift to in-person collaboration.