Software Engineer - Data Infrastructure - Kafka at Canonical

What your day will look like

• The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them.
• 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
• Work from home with global travel for 2 to 4 weeks per year for internal and external events

What we are looking for in you

• 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