Staff Software Engineer- Big Data Matching

Remote, San Francisco, CA, United States

LiveRamp Inc.


Role Locations

  • Remote
  • San Francisco, CA, United States

Employees

501+ people

Address

225 Bush St Ste 1700
San Francisco, CA, 94104-4248, US

Tech Stack

  • Java
  • MySQL
  • Go
  • Kubernetes
  • Hadoop
  • Apache Spark
  • Kafka
  • React
  • Ruby on Rails
  • Google Cloud

Role Description

The Matching team owns the largest big data service at LiveRamp that processes petabytes of data per day. To operate and build applications at this scale pushes the limits of distributed computing and allows the team to work on a unique set of problems. The system has to be fault-tolerant, process data in near real-time and still be cost effective.

We are looking for a Staff Software Engineer who shares a passion for tackling complexity and building platforms that can scale through multiple orders of magnitude.

About you:

  • 5+ years of experience writing and deploying high-quality production code.

  • Solid Java or Scala programming skills.

  • Experience selecting and using industry-standard open source and/or commercial tools and libraries to solve specific problems.

  • Experience with GCP or another cloud provider (AWS, Azure, etc.).

  • A track record of ownership building systems that process big data.

About LiveRamp Inc.

LiveRamp's product is a massive identity graph connecting each individual to their online identifiers like cookies and device IDs.

Our engineering workflows can be broken into three parts: Data Ingestion, Data Manipulation, and Data Distribution. We ingest behavioral data indexed by offline and online identifiers from our clients, resolve every index to a single LiveRamp ID through our Identity Graph, and then distribute ingested data to other technology platforms in the industry.

Company Culture

All LiveRampers are smart, nice, and get things done. We move quickly and value autonomy and project ownership over all else. We empower our people to use their best judgment when making decisions. We grow our talent by challenging them with stretch projects and supporting them with mentorship.

Interested in this role?
Skip straight to final-round interviews by applying through Triplebyte.