Software Engineer, Data Infrastructure - Kafka

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Canonical

πŸ“Remote - United States

Job highlights

Summary

Join Canonical's data platform team to develop managed solutions for various data stores and technologies, and contribute to building a comprehensive automation suite. The role involves creating and automating infrastructure features of data platforms, collaborating with a distributed team, writing high-quality Python code, and working from home.

Requirements

  • Proven hands-on experience in software development using Python
  • Proven hands-on experience in distributed systems, such as Kafka and Spark
  • Have a Bachelor’s or equivalent in Computer Science, STEM, or a similar degree
  • Willingness to travel up to 4 times a year for internal events

Responsibilities

  • Collaborate proactively with a distributed team
  • Write high-quality, idiomatic Python code to create new features
  • Debug issues and interact with upstream communities publicly
  • Work with helpful and talented engineers including experts in many fields
  • Discuss ideas and collaborate on finding good solutions

Benefits

  • Fully remote working environment - we’ve been working remotely since 2004!
  • Personal learning and development budget of 2,000USD per annum
  • Annual compensation review
  • Recognition rewards
  • Annual holiday leave
  • Parental Leave
  • Employee Assistance Programme

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