Sovrn
Sovrn

Staff Engineer (Data Decisioning)

TLDR

Build and maintain the Data Decisioning product to connect publishers' audiences with advertisers via Sovrn's Meridian platform, while mentoring junior engineers.

As a Staff Engineer on Sovrn’s Data Team, you will help to build and maintain our Data Decisioning product line. This product gives publishers an actionable way of connecting their audiences with advertisers through Sovrn’s Meridian platform. As a Staff Engineer you will be responsible for mentoring more junior engineers and aid in facilitating daily stand-ups.

Responsibilities

  • Member of an agile team participating across all aspects of software development
  • Provide technical leadership and mentor junior engineers
  • Translate requirement and use cases into functional applications
  • Design, build and maintain efficient, reusable and reliable code

Qualifications

  • Strong experience within Java applications, with a solid foundation in data structures, algorithms and system design
  • High level of proficiency in modern object oriented software design and development
  • Knowledge of web and internet fundamentals
  • Knowledge of object oriented programming with Javascript
  • Understanding of both relational databases and NoSQL databases
  • Development experience on Linux platforms
  • Source control (GitHub, svn, etc)
  • Build and deployment tools (Maven, etc)
  • Experience with full SDLC
  • Excel in a fast paced agile development environment
  • Articulate; excellent written and verbal communication skills
  • B.S. in Computer Science, or equivalent work experience

Bonus Points!

  • Experience with Java Spring, Hive and Cassandra
  • Experience with CICD
  • Advertising industry experience

Reports to: Director of Engineering

http://vimeo.com/100316082

Contact: 

Scott Schoenberger

Sovrn provides essential tools, technologies, and services to support independent publishers in monetizing their content, growing their audience, and leveraging valuable insights from a comprehensive data commons. By simplifying the complicated landscape of content and advertising, Sovrn empowers publishers to focus on creating quality work while maximizing their potential in an increasingly crowded market.

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