Реплікація даних для терміналів без Kafka? Слухайте на Highload fwdays онлайн | 13-24.10
  • Главная
  • Форум
  • Лента
  • Зарплаты
  • Работа
  • Календарь
AgileEngine is a privately held company established in 2010 and HQed in the Washington DC area. We rank among the fastest-growing US companies on the Inc 5000 list and the top-3 software developers in DC on Clutch. Facebook, Play Store, and the Webby Awards featured the apps we’ve built.
24 июня 2020

Junior Java Developer to predict the future (вакансия неактивна)


Необходимые навыки

We are looking for Junior/ Middle Java developer for the unique IoT-platform — Transvoyant. You will be work with real-time big data, data science, predictive analysis and and will develop a product that used by Fortune 500 companies.

Just look how it’s working:

All you need is:

• 1,5+ years of Java backend experience;
• Good written and verbal English.

Будет плюсом

Any technologies from the list below that we use in the project:

• Java 8, Spring (Core, Cloud, MVC, Security, Boot), Hibernate;
• PostgreSQL (both SQL and NoSQL features);
• Maven;
• Git/Bitbucket;
• Jira;
• AWS;
• Microservices;
• Angular 7;
• Docker;
• Kafka;
• Ansible automatic deployments.


• Long-term project with big contracts from world biggest companies;
• Active development for years to come;
• No legacy code to maintain;
• Modern Java technologies that will let you stay up to market demand;
• Lots of English practice working with US part of the team;
• Very nice office;
• Comfortable work schedule;
• Zero bureaucracy;
• US democratic management style;
• Opportunities for self-realization, professional and career growth;
• Corporate events and activities.


• Design and implementation of microservices with REST API;
• Supporting solutions from design phase till releasing a docker image;
• Develop end-to-end data management solutions including database schema and performance tuning;
• Driving features.

О проекте

TransVoyant is at the forefront of the predictive analytics space. From sensors, satellites, radar, video cameras, smartphones and other devices that make up the Internet of Things (IoT), we collect over one trillion events each day, giving us one of the largest repositories of real-time big data in the world. Our proprietary machine learning algorithms analyze these massive big data streams in real-time to produce live and predictive insights that help companies to achieve competitive advantage and government agencies to save lives.