Degree in Computer Science, Software Engineering or similar;
3+ years of commercial software development experience in C++;
Practical experience with C++11 and STL, cross-platform (Linux, Windows) development, automated unit and acceptance testing, Boost, TBB (Threading Building Blocks);
Practical experience with complex data structures like graphs, trees, and related algorithms;
Good knowledge of OOP, architecture, and design patterns;
Excellent command of written and spoken English.
Higher Education: Bachelor’s Degree/Master’s Degree.
Besides such basics as a competitive salary, comfortable and motivating work environment, here at Intellias we offer:
For your professional growth —
Innovative projects with advanced technologies;
Individual approach to professional and career growth (Personal Development Plan);
Regular educational events with leading industry experts;
For your comfort —
Flexible working hours;
Spacious office with lots of meeting rooms;
Kids’ room with professional baby-sitter (offices in Lviv & Kyiv).
For your health —
3 health packages to choose from — medical insurance, sports attendance or mix of both;
Annual vitaminization program;
Annual vaccination and ophthalmologist check-up.
For your leisure —
Corporate celebrations and fun activities;
Beauty parlor (offices in Lviv & Kyiv).
Work within a team responsible for the map compilation product;
Develop solutions and algorithms according to technical specifications or other requirements documentation; use standard algorithms in the applicable cases;
Obtain tasks from the Team Leader supervisor and execute tasks within set deadlines and specified quality objectives;
Code and maintain portions of software;
Code performance optimization;
Participate in estimation and planning sessions;
Perform unit and integration testing;
Contribute to the development of technical project documentation.
The product we are working on is the big data map compilation/testing/production platform, which is designed to transform the raw geolocation data into a highly optimized proprietary spatial format.