Software Engineer - Data Infrastructure

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 analytic...

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.

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

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