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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 a full range of data stores and technologies, including big data, NoSQL, cache-layer capabilities, analytics, 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 data platforms.
The role involves collaborating with a distributed team, writing high-quality Python code, debugging issues, and providing domain-specific expertise on data systems.
Engineers will work from home with global travel 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 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.
Benefits:
The position offers a fully remote working environment, having been remote 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.
Employees receive annual holiday leave and parental leave.
An Employee Assistance Programme is available.
Opportunities to travel to new locations for team meetings at ‘sprints’ are offered.
A Priority Pass for travel and travel upgrades for long-haul company events is included.
Apply now
Please, let Canonical - Jobs know you found this job
on RemoteYeah
.
This helps us grow 🌱.