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 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. 

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 data platforms. 

We have a number of openings ranging anywhere from junior to senior level. We will help you identify a suitable position depending on your experience and interests. Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.

Location: This is a Globally remote role

What your day will look like

The data platform team is responsible for the automation of data platform operations. This includes ensuring fault-tolerant replication, TLS, installation, 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 features of data platforms, not analysing 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  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

You might also bring a subset of experience from the following, which will determine the exact role and level we consider you for:

Experience operating and managing data platform technologies like PostgreSQL, MySQL, MongoDB, OpenSearch, Kafka, Yugabyte, Trino, Superset, Atlas, Ranger, and Redis Experience with Linux systems administration, package management, and 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

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.

Fully remote working environment - we’ve been working remotely since ! Personal learning and development budget of 2,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 at ‘sprints’ Priority Pass for travel and travel upgrades for long haul company events