Integral Ad Science

Senior Software Engineer - Python, Big Data

Dublin, Ireland
Python Spark Kafka Java AWS API
Description

As a Senior Software Engineer, you will help develop and run the Total Visibility data pipeline that ingests, correlates, aggregates and outputs millions of events. You’ll be part of a small, focused, team getting things done. The ideal candidate has a track record of architecting and building end-to-end software solutions, enjoys working in a collaborative and agile environment, and brings innovative solutions to complex problems with a desire to improve the status quo. 

What you’ll do:

  • Architect, design, build and integrate our core ad analytics products end to end 
  • Lead the entire software lifecycle including hands-on development, code reviews, testing, deployment, and documentation, in addition to mentoring the team
  • Partner with the Product team and other stakeholders across the company to understand product requirements, gather business and technical requirements from broadcaster clients, and research and develop solutions, including API development
  • Manage multiple competing priorities in a fast-paced, exciting, collaborative environment

You should apply if you have most of this:

  • BS in Computer Science, or related STEM degree
  • 5+ years of hands-on programming experience using Python
  • 2+ years of experience working with big-data stack, including Spark and Kafka
  • Expert knowledge of Python and/or Java and (collections, multi-threading, JVM memory model, etc.) 
  • Experience with AWS tech stack, including but not limited to EMR, Athena, EKS, MSK
  • Experience partnering with Product and other high level stakeholders across the company to meet business deliverables
  • Excellent interpersonal and communication skills

What puts you over the top:

  • Prior experience in an external client and/or vendor facing role
  • Experience with managing, leading and/or mentoring a development team 
  • Experience with big data and data pipelines
  • Experience in AdTech

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.

#LI-Hybrid

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

0 applies

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