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Software (Product) Development
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Global Services Integration Business
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20000CB7 Requisition #

 

 

We are searching for an experienced backend developer (Java) with a strong background in Test-Driven Development environment to join our team in Research & Development department in Fujitsu Poland.

 

 

Project
 

Our AI solution provides a framework for applying artificial intelligence to automate critical inspection processes. This allows for an improvement in the quality and consistency of inspections, allows defects in production to be quickly identified, and achieves greater agility to quickly adapt to changing requirements. We are working with a growing number of customers across a variety of industries, including wind power, aviation and rail.

 

Responsibilities
 

You will be involved in shaping the application of this product to achieve exceptional business value for customers, plus further development to ensure it remains ahead of competitor offerings.

You will have responsibility for the design, creation, testing and documenting of new and amended functionality and also responsible for guiding engagement with maintenance and support teams, either directly to users of the applications or to service delivery functions.

 

 

Core skills

 

  • professional experience with Java, Spring Boot, PostgreSQL, MongoDB or other NoSQL DB, Docker

  • experience and hands-on skills across some/all of the following: Kubernetes, Apache Kafka

  • knowledge of source control systems (GIT, Bitbucket),

  • experience in working BDD or TDD environment,

  • passion for working on code quality, implementing design patterns and writing tests,

  • awareness and understanding of software design, development and lifecycles,

  • designing/undertaking impact analysis of small to medium size solutions or partial solutions within an established architecture,

  • good English skills,

  • team player 

 


Beneficial skills
 

  • experience with Spring Cloud Data Flow and/or Keycloak,

  • an understanding of Machine Learning & Deep Learning and applying this across image/video/3D recognition would be highly beneficial.

 

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