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about breezometer

We’re on the lookout for passionate, curious, and creative people who are super excited to contribute to a global mission, and receive a community of inspiration and celebration in return. BreezoMeter puts a focus on the right culture and celebrates its employees. Whether you are an engineer, scientist or developer, an expert in design, sales or marketing, we want to cultivate your talent with you.

Backend Engineer


BreezoMeter is looking for a Backend Engineer to build and maintain the system components running our cutting edge Air Quality modeling algorithms, that improve the health of millions of people around the world every day. In this position you’ll be working with exceptional people in a multidisciplinary R&D team to create inspiring data driven solutions that you can be proud of.

we are looking for people who are

  • Curious and enthusiastic to learn new things
  • Team players
  • Independent in their approach and learning
  • Passionate about the combined power of great software and complex algorithms
  • Thoughtful, positive and proactive
  • Flexible and possess a “can-do” attitude
  • Love everything about software development, cloud technologies, DevOps and everything in between


  • Take ownership of the design, implementation, deployment and maintenance of a complex cloud based software system
  • Design real-time data processing pipelines and assist in building and integrating cutting edge Air Quality modeling algorithms
  • Engage in tight collaboration with our algorithm engineers to optimize the algorithmic processing pipeline and handle any engineering challenges arising in their development
  • Be involved in shaping the technical and infrastructural roadmap for relevant software components of the system


  • B.Sc. in Computer Science or equivalent from a well-known institute
  • 5+ years of industry experience in building software for algorithmically rich products and services
  • Experience in designing and building software that’s extensible, reusable and above all simple to maintain
  • Experience and deep familiarity with Python (preferred) or any other high-level programming language
  • Excellent debugging and performance optimization capabilities
  • Ability to effectively interact and collaborate with the other R&D teams
  • Familiarity with one of the leading public cloud platforms (e.g. Google Cloud Platform)
  • Familiarity with standard data science and analysis tools and frameworks (e.g. NumPy, Pandas, Scikit-learn)
  • Knowledge in Databases (SQL, NoSQL, Key-Value)
  • Bonus points:
  • Familiarity with Docker and related container orchestration tools (e.g. Kubernetes)
  • Familiarity with big data management concepts and architecture
  • Familiarity with machine learning concepts and practical implementation techniques
  • Experience in building complex data processing and transformation pipelines
  • Familiarity with distributed system monitoring practices and tools (e.g. Prometheus)

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