Remote Senior Java Developer

Przegląd oferty

Lokalizacja
Remote, Remote
Rodzaj pracy
Pełny etat
Wynagrodzenie netto
18,000 zł - 28,000 zł Za MiesiÄ…c
Data opublikowania
2 lat temu

Szczegóły

ID oferty
5679
Typ pracy
Zdalnie
Rozmiar firmy
100-200
Wynagrodzenie
Umieszczone w ofercie
Wykorzystywane technologie
Git, REST, SQL, Linux, ELK, Stack, Java, Akka, Elasticsearch, Python, Azure, Cassandra, Grafana, Prometheus, PostgreSQL, Java, Kubernetes, Microservices, NoSQL, Rust, Kafka, JVM, Docker, GCP, Scala, Spring Framework, Java Virtual Machine
Typ umowy
B2B
Rekrutacja
Online
Rekrutacja w języku
Polski Angielski
Korzyści
Parking, Prywatna opieka medyczna, Finansowanie kursów, No dress code, Kawa za free, Play room, Prysznic, Parking rowerowy, Startup atmosphere, Małe zespoły, Elastyczne godziny pracy,
Poziom doświadczenia
Senior
Wymagana
GIT Java SQL

Opis oferty

Must have:

  • Team player
  • Critical thinking
  • Problem solving
  • Proactivity

Nice to have:

  • Scylla/Cassandra
  • ZIO
  • Cats
  • Scalaz
  • ELK

Opis oferty 

Synerise is a technology company that uses data and artificial intelligence to help brands better respond to the needs of their customers. The tools it offers include automation applications, business intelligence, and personalization of communication, as well as the management of pricing policy in real-time, regardless of the scale of operations.

Working with us you will have the chance to immerse yourself in challenging projects in an interdisciplinary team.

Our Backend uses Java, Scala, Rust, Kafka, ElasticSearch, Scylla/Casandra, Azure, GCP, and Kubernetes, and our colleagues from the Frontend use JavaScript (React.js), ES6, Redux, TypeScript, and Webpack. We are supported by the QA and Infrastructure. We like to experiment and we have the environment to do it.

We work on the borderline of science and technology, creating outstanding solutions. If you are open-minded and willing to constantly develop yourself – Synerise is the place for you.

Zakres obowiązków

  1. developing architecture and design patterns to process and store high volume data sets 
  2. developing software with a core focus around optimisation and performance 
  3. translating complex functional and technical requirements into detailed design 
  4. performing analysis of vast data stores and uncover insights