Software Engineer - Data Infrastructure - Kafka

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

• 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

Additional Skills That You Might Also Bring

• Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc.) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc.), similar to DBA level expertise
• Experience with Linux systems administration, package management, and infrastructure operations
• Experience with the public cloud or a private cloud solution like OpenStack
• Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services

• Fully remote working environment - we've been working remotely since 2004!
• Personal learning and development budget of 2,000 USD 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

Canonical is an equal-opportunity employer. We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

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 data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to Amazon RDS approach). We are facing the interesting problem of fault-tolerant mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms. We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.