Excellent analytical, algorithmic and optimization skills, OOAD, architecture and design patterns;
4+ years of experience in software engineering with Java/Scala;
Experience with large-scale, data-heavy distributed systems (e.g. Hadoop, Spark, Kafka etc.);
Expertise in cloud-based infrastructure (Docker, AWS CloudFormation, AWS ECS and ECR, AWS Lambda, SageMaker);
Proven experience with Continuous Integration/Continuous Delivery (CI/CD);
Experience with Micro-service architecture;
Experience with REST API;
Self- motivated, well-organized, detail-oriented and a strong team player;
Very good communication skills in English both written and spoken.
Skills in math, geometry, probability theory and statistics;
Hands-on experience with Kubernetes will be a plus.
Higher Education: Bachelor’s or Master’s Degree in Computer Science or related fields.
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;
English and German courses.
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).
Contribute to development and enhancement of 3D HD live maps using both Java and Scala;
Implement/adapt algorithms for road/graph maintenance;
Fix drawbacks and inconsistency in the lanes, roads and road attributes.
Highly Automated Driving team encompasses making High Definition maps for next-generation automotive technologies.
We’re seeking for engineers with experience in micro-services, with DevOps mindset with focus on automation who know how to scale and deploy.