Software Engineer - Data Infrastructure - Kafka

Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops managed solutions for a full range of data stores and technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines.

• 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
• Ensure fault-tolerant replication, installation, backups and much more

• Proven hands-on experience in software development using Python
• Proven hands-on experience in distributed systems, such as Kafka and Spark
• Bachelor’s or equivalent in Computer Science, STEM, or a similar degree
• Experience operating and managing data platform technologies like SQL and/or NoSQL
• Experience with Linux systems administration and infrastructure operations
• Experience with public or private cloud solutions like OpenStack
• Experience with operating Kubernetes clusters

• Fully remote working environment
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues twice a year
• Priority Pass for travel and travel upgrades for long haul company events