Integral Ad Science

Staff Software Engineer, Java

New York, NY
USD 116k - 200k
AWS MySQL Docker API Microservices Java Spring Kubernetes
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Description

Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry and we’re looking for a Staff Software Engineer to join our Programmatic Platform team. If you are excited by technology that has the power to handle hundreds of thousands of transactions per second; collect tens of billions of events each day; and evaluate thousands of data-points in real-time all while responding in just a few milliseconds, then IAS is the place for you!

As a Staff Software Engineer, you will be part of an elite team of engineers responsible for the backend API that serves as the backbone of our Advertising Impressions Infrastructure.  We are using the latest Java-based technologies to power our APIs on AWS-based infrastructure. 

What you’ll get to do:

  • Build on and improve our API (micro) services written using Java and Spring and/or Spring Boot Technologies running on top of Kubernetes platform on AWS.  

  • Participate in design and development of data ingestion using Databricks and MySQL

  • Use and improve a multitude of tools like Grafana that allows us to be reactive and proficient with fixing issues before they become a problem

  • Be involved in the overall design and development of improvements for the advancement of our pre-bid and post-bid advertising platforms.

You should apply if you have most of this experience: 

  • Proficient and involved in designing large-scale, scalable applications from inception to production deployment and support.

  • At least 5 years of experience in developing API technologies, preferably using JVM-based technologies.

  • Proficiency in cloud-based and containerization technologies (AWS, Docker/Kubernetes)

New York Applicants: The salary range for this position is $116,900 - $200,400. Actual pay may vary based on experience or geographic location.

About Integral Ad Science

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

Equal Opportunity Employer:

IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.

California Applicant Pre-Collection Notice:

We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at compliance@integralads.com.

To learn more about us, please visit http://integralads.com/ 

Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership.

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Integral Ad Science
Integral Ad Science
Advertising Analytics Big Data Digital Media

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