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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.

Senior Backend Engineer


BreezoMeter is looking for a Senior Backend Engineer with the creativity, professionalism, and passion to develop innovative data-driven backend systems. BreezoMeter systems are being used by millions of users around the world with high serving standards. In this position, you’ll be working with exceptional people: frontend engineers, researchers, algorithm engineers, data scientists, and product managers to create the best in grade environmental data products and services.

we are looking for people who are

  • Thoughtful, positive, and proactive
  • Ready to face both challenges in maintaining current products and infrastructure, together with building the company’s future solutions
  • Interested in taking the holistic view of the entire backend system
  • Passionate for hands-on coding
  • Independent, self-learners, and self-managers
  • Team players
  • Flexible and possess a “can-do” attitude


  • Take ownership of the design, implementation, deployment, and maintenance of BreezoMeter’s backend systems.
  • Attain a deep understanding of all the system's ingredients inside-out
  • Be involved in designing real-time data processing pipelines, that includes building and integrating cutting edge environmental ML models
  • Take a leading part in defining the technical and infrastructural roadmap for all backend components of the system


  • Minimum of 4 years full-time experience in Backend and/or Data Engineering positions
  • Experience in designing and building software that’s extensible, reusable, and above all simple to maintain
  • Adapt and work in a dynamic and fast-paced environment
  • Effectively interact and collaborate with the other R&D teams
  • Experience and deep familiarity with Python (preferred) or any other high-level programming language
  • Proven knowledge of Dockerized applications and experience maintaining them in production
  • Familiarity with big data management concepts and architecture
  • Familiarity with one of the leading public cloud platforms (preferably Google Cloud Platform), and specifically with serverless development

bonus points

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, any related field from a well-known institute
  • Experience building large-scale, distributed data processing pipelines and systems
  • Familiarity with common container orchestration & monitoring frameworks and tools (e.g. k8s, Prometheus)
  • Familiarity with common Data Science and Analysis tools and frameworks (e.g. NumPy, Pandas, Scikit-Learn)
  • Familiarity with ML concepts and tools
  • Experience in building complex ETL pipelines

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