Description:

Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise.
The data platform team develops managed solutions for a full range of data stores and technologies, including big data, NoSQL, cache-layer capabilities, and analytics, as well as structured SQL engines.
The team is focused on creating and automating infrastructure features of data platforms, ensuring fault-tolerant replication, TLS, installation, backups, and more.
The role involves collaborating with a distributed team, writing high-quality Python code, debugging issues, and interacting with upstream communities.
Engineers will work with talented colleagues and have the opportunity to travel globally for 2 to 4 weeks per year for events.

Requirements:

Candidates must have proven hands-on experience in software development using Python.
Experience in distributed systems, such as Kafka and Spark, is required.
A Bachelor’s degree or equivalent in Computer Science, STEM, or a similar field is necessary.
Willingness to travel up to 4 times a year for internal events is expected.
Additional skills that may be beneficial include experience with SQL and NoSQL databases, Linux systems administration, public or private cloud solutions, and operating Kubernetes clusters.

Canonical offers a fully remote working environment, having operated remotely since 2004.
Team members receive a personal learning and development budget of 2,000 USD per annum.
There is an annual compensation review and recognition rewards for employees.
Benefits include annual holiday leave, parental leave, and an Employee Assistance Programme.
Employees have the opportunity to travel to new locations to meet colleagues twice a year and receive a Priority Pass for travel and upgrades for long-haul company events.