Software Engineer (Audience Platform)

Quantcast•Seattle, WA

1d•Hybrid

About The Position

At Quantcast, we don't just build advertising technology, we revolutionize how it works. Our AI-powered Demand Side Platform (DSP) connects the world's most ambitious marketers with their ideal audiences across the open internet, delivering results that actually move the needle. Since 2006, we've been the industry's trailblazer, launching the first AI-powered measurement platform for publishers and the first AI-driven DSP. Our AI doesn't just optimizeâit delivers the measurable outcomes that matter most to our clients, giving them the competitive edge they need in a crowded marketplace. Ready to join the team that's defining the future of digital advertising? Have you wanted to work with a database containing over one trillion data points? Have you wanted to work with real-time systems that process over half a billion events per day? This is your opportunity! As a Software Engineer, you will craft, implement, and operate distributed software systems to efficiently process, organize and query internet-scale data at Quantcast. You will work closely with product and business partners to deliver capabilities to the audience platform, which provides interactive, realtime and expressive insights and reporting data to a global set of publishers and marketers. You are comfortable working on an agile, dynamic team.

Requirements

0-5 years of related experience.
You must be work-authorized in the United States without the need for employer sponsorship.
This is a hybrid role based in our Seattle office. To ensure a manageable commute for in-office days, candidates must reside within a 60-mile radius of Seattle, WA. No relocation candidates at this time.
Bachelorâs degree in Computer Science, related field, or equivalent experience.
Proven algorithmic problem-solving skills.
Basic understanding of distributed systems.
Proficient in Java and/or Golang.

Nice To Haves

Experience with cloud technologies, such as AWS, is a plus.

Responsibilities

Design, implement, and own solutions to big-data problems in a highly scalable way.
Demonstrate analytics skills to help business customers answer questions based on Quantcastâs vast data set on internet activity.
Broadly communicate knowledge and innovative methodologies within the team and the engineering organization.
Participate in team-wide on-call rotations.