Software Developer C++/Python (f/m)

  • Wien
  • Vollzeit
  • Berufserfahrung
  • 14.8.2017

UBIMET has its headquarters in Vienna, Austria and ranks among the leading weather service providers in Europe. International experts in the fields of meteorology, physics, biology and geography issue customized, individual and precise weather forecasts for several millions private and industrial customers in many countries. The company founders and the shareholder (Red Bull) pursue the goal to be the weather service with the world's best quality forecasts. In order to deal with a rapidly growing number of potential clients, we are looking for highly skilled, exceptional people to join our team in the position of

Software Developer C++/Python (m/f)

(Linux Environment, Full-time)


  • Development of meteorological realtime services under GNU/Linux
  • Design and optimization of scalable systems
  • Focus on free software and open standards


  • Profound knowledge of Python / C++
  • Acquaintance with Linux as a working environment
  • Sense of responsibility and proactivity
  • Analytical mind

We offer

  • Interesting working environment (forecasting, satellite and radar systems)
  • Realization of own ideas within a flat hierarchy
  • Excellent career opportunities in an international company
  • Friendly atmosphere
  • Workplace with a focus on Free / Open Source Software
  • Incentive pay

The salary range for this position averages between 36.000EUR - 48.000EUR per year (negotiable), depending on your qualification and background.

If your experiences and skills match our job profile, we are looking forward to your application, including your detailed CV. With just a few clicks, you can apply online and start the sunny side of your career.

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Donau-City-Straße 11
1220 Wien

Über uns

UBIMET ist der global führende Anbieter von meteorologischen Prognosesystemen, Auskünften und maßgeschneiderten Dienstleistungen. Bei allen Services legt UBIMET größten Wert auf Qualität und die Erfüllung von Kundenbedürfnissen. Rund um die Uhr an 365 Tagen im Jahr werden Daten, Wettermodelle, Radar-…

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