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Backend Developer en Barcelona

IOMED Medical Solutions

Lugar de trabajo
En sede
Horas
Full-Time
Prácticas
false
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Descripción de la oferta

About this role


The core of your role is designing, implementing, and testing backend tools based on a microservices environment. We don’t draw a hard line between our research and engineering teams: you’ll work with researchers to ship commercial quality software for healthcare. We mostly work in Python, but dip into other languages when it makes sense to, so you’ll need to be comfortable picking up from a range of tools. One day you might prototype something from scratch in Python or SQL, and another day work on production code using a high-level library.


About you


You have proven skills of putting microservices to use, and you’re comfortable with the containers in a cluster architecture. You work well in a team, can teach & learn from others, and communicate what you’re working on with non-technical team members.


Things You Might Do


IOMED is a startup, so you’ll have to be comfortable rolling up your sleeves and doing whatever needs doing. However, you can definitely expect to:

  • Design, implement & test microservices.

  • Integrate our products with external APIs.

  • Development and testing of our core products and frameworks.

  • Be comfortable with container development with Docker.

  • Query, model and deploy with PostgreSQL, Redis, RabbitMQ.

  • Fast prototyping with Python and maturing to production.

  • Experience with testing, logging, metrics and alerting of the deployed services.


Requirements


  • Back-end product development in Python.

  • Experience with microservices in production.

  • Docker container creation and deployment.

  • SQL data manipulation.

  • Experience and regular use of unit and integration tests.

  • Fluent in English or Spanish.

  • CVS with GIT.


 
  • Health Tech

  • Barcelona, Spain

  • 2-10

  • 2016

IOMED has developed a Natural Language Processing tool that allows hospitals to structure their information identifying clinically relevant variables from medical notes and structuring them into datasets, which can then be easily queried. Thanks to this data structuration, professionals and researchers from the hospitals can access to the information stored in their facilities more quickly thus accelerating patient recruitment by reducing the time invested in this process. At the same time, it allows hospitals to improve the quality of their services.

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