
Empowering the world with open-source software
Canonical Ltd., headquartered in London, is the driving force behind Ubuntu, one of the world's most popular open-source operating systems. With a focus on cloud computing, IoT, and container orchestration, Canonical serves a diverse range of clients, including major enterprises like Google and Micr...
Canonical offers competitive salaries, equity options, generous PTO policies, and a remote-first work environment, allowing employees to work from any...
Canonical promotes a remote-friendly culture that values open-source contributions and encourages innovation. The company emphasizes transparency and ...

Canonical • Home based - EMEA
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 managed solutions for 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 (similar to Amazon RDS approach).
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 managed data platforms.
We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organisations.
Location: This role can be filled in European, Middle East and African time zones.
The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups 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 infrastructure features of data platforms, not analysing and/or processing the data in them.
You might also bring a subset of experience from the followings that can help Data Platform to achieve its challenging goals and determine the level we will consider you for:
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.
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal-opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
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