Project Overview:

Join Intellias to develop the most comprehensive Map product for the autonomous vehicles market. Intended to support precise navigation for self-driving cars, the Map powers numerous connected vehicle services and Open Location Platform.

Map compilation architecture is built on distributed computing with Apache Spark at its core. Hidden behind the interfaces, Spark makes the work with geo data much easier and effective. Such architecture aspects give you a great opportunity to dive into distributed computing and get a hands-on experience with Apache Spark, AWS EMR service, and Scala. 

Although the data model is quite complex, you’ll get a great opportunity to learn the insights of data structures and map compression tricks that enable Map high-performance on the vehicle built-in systems.

Андрій Годун
  • Collaborate with other engineering teams to resolve dependencies and deliver high-quality software on time;
  • Participate in design reviews, code reviews, and product demos;
  • Take accountability for implementation and quality of software products as well as time and complexity estimation of own technical tasks;
  • We are looking for Java/Scala engineers who willing to learn Scala as it's the main language of the project.


  • Java;
  • Scala;
  • AWS;
  • CI Gitlab.
  • 5+ years of experience in software engineering with Java and adjacent open source technologies;
  • Proficiency in Java 8 Core;
  • Big data experience;
  • Good understanding of basic software design approaches and architectural patterns;
  • Good analytical, algorithmic and optimization skills, OOAD;
  • Experience with Scala and functional programming is a big plus;
  • Experience working with CI/CD environments;
  • Experience in implementation of unit tests, experience with protobuf;
  • Self- motivated, well-organized, details-oriented and a strong team player;
  • Good communication skills in English both written and spoken;
  • Experience with Scala is a big plus;
  • Understanding of Agile engineering practices.
Higher Education:
  • Bachelor’s or Master's Degree in Computer Science or related fields.

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