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 structured SQL engines.
The team is focused on creating fault-tolerant mission-critical distributed systems and aims to deliver the best automation solution for managed data platforms.
The role involves automating data platform operations, ensuring fault-tolerant replication, TLS, installation, backups, and providing domain-specific expertise to other teams.
Responsibilities include collaborating with a distributed team, writing high-quality Python code, debugging issues, and interacting with upstream communities.
The position is globally remote, with travel required for 2 to 4 weeks per year for internal and external events.

Requirements:

Proven hands-on experience in software development using Python is required.
Proven hands-on experience in distributed systems, such as Kafka and Spark, is necessary.
A Bachelor’s degree or equivalent in Computer Science, STEM, or a similar field is required.
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 technologies, Linux systems administration, public or private cloud solutions, and operating Kubernetes clusters.

The position offers a fully remote working environment, reflecting Canonical's remote-first approach since 2004.
A personal learning and development budget of 2,000 USD per annum is provided.
There is an annual compensation review and recognition rewards for team members.
Employees receive annual holiday leave and parental leave.
An Employee Assistance Programme is available for support.
Opportunities to travel to new locations to meet colleagues twice a year are included.
A Priority Pass for travel and travel upgrades for long-haul company events is also offered.