Back-End Python Developer [7.000 - 12.000 RON]
Vaslui, Romania
3 zile în urmă

Salary 7.000 - 12.000 RON net per month

Requirements :

  • Knows, understands and loves the Python programming language
  • Loves to learn new things every day
  • Doesn’t shy away from challenges, and has a problem solving mindset
  • Has 3+ years experience with Django, Celery, GraphQL, containers, HTTP.
  • Good understanding of how HTTP works (caching, methods, content types, CORS, etc) is a must
  • Experience with Kubernetes is a plus (our applications run on Kubernetes and understanding the bigger picture and the context our applications run is a big plus).
  • Eager to learn new things and curious about how things work.
  • Responsibilities :

  • Participate in the planning and development of various integrations with external services.
  • Make sure the code is up to our standards (well tested, the code is clean and maintainable).
  • Write relevant unit and integration tests for the features we develop.
  • Follow our internal development processes (code reviews, unit tests, knowledge sharing sessions, peer programming, etc).
  • Observe and identify bottlenecks and come up with solutions to improve the performance and stability of our systems.
  • Participate in mentoring other colleagues and be open to being mentored.
  • Technologies :
  • Django
  • More : is a technology company based in Aarhus, Denmark and Iași, Romania. We are currently looking to expand our development team to scale up our operations.

    We are seeing a huge demand for our platform, and we are just entering the scale-up of our company. Joining a startup at this stage would be probably the best career choice somebody can make, because it offers you the freedom to propose and implement new ideas and projects, and you can grow career and skill wise very fast.

    We are developing a platform that facilitates data transfer and transformation between different parties from the retail / e-commerce space : the producers of goods (brands) and the ones that sell physical goods either in physical stores or online (retailers).

    For big brands and retailers, transferring data in the formats they need is slow, expensive and involves a lot of manual work (which is also error-prone).

    We are building a platform to tackle this problem through which they can transfer, clean and adapt the data automatically.

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