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Senior Scala/Java Engineer

Проект: Automotive project
ЛьвівКиївОдесаХарківІвано-ФранківськКраків Scala Senior 16145

Cooperation with our client — a global leader in location-based services, is one of the most successful and long-lasting at Intellias achievement list. Over five years of partnership we have delivered dozens of major software releases together for customers in automotive, transportation, mobility, and other industries. Дізнатись більше про проект

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Project Overview:

Service is designed to learn users' geo-data & predict possible destinations & routes based on location and time.

Responsibilities:

  • Work closely with product owners and principal engineers to implement, test and continually improve scalable applications, services and pipelines running on Kubernetes;
  • Willingness to own/lead some of the components of the system;
  • Take accountability for implementation and quality of software products as well as time and complexity estimation of own technical tasks;
  • Develop software products using Agile methods, tools, and continuous delivery process;
  • Participate in design reviews, code reviews, and product demos;
  • Collaborate with other engineering teams to resolve dependencies and deliver high-quality software on time;
  • Failure investigation;
  • Regular communication with the remote team.

Technology Stack:

  • Scala/Java using frameworks: Play, Quarkus;
  • Data processing using Spark, Flink;
  • DevOps: Kubernetes, Helm, GitLab, Docker.

Requirements:

  • 5+ years of Scala/Java software development;
  • Hands-on experience working with CI/CD environment;
  • Strong understanding of distributed systems;
  • Good communication skills in English, both written and spoken,  ability to articulate and communicate clearly complex topics;
  • Passionate about programming; strong focus on performance aspects;
  • Self-motivated, well-organized, detail-oriented and a very strong team player;
  • Excellent analytical, algorithmic and optimization skills;
  • Understanding of Agile methodologies and engineering practices.

Nice to have:

  • Experience Kubernetes or Cloud Providers (AWS, GCP, etc);
  • Experience in Big Data: Kafka, Flink, Spark, Casandra;
  • Hands-on experience with Functional Programming (Scala, Haskell, etc.);
  • Math/Statistics skills.

Higher Education: 

  • Bachelor’s Degree/Master’s Degree.
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