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Software engineer - data infrastructure

Aveiro
Canonical
Anunciada dia A 23 h atrás
Descrição

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 analytics; all the way to structured SQL engines.

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 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 are aware of the needs of large, innovative organizations.

Location: This is a globally remote role


What your day will look like

The data platform team is responsible for automating data platform operations, including fault-tolerant replication, TLS, installation, and more. They also provide domain-specific expertise on data systems to other teams within Canonical. This role focuses on creating and automating features of data platforms, not analyzing the data within them.

1. Collaborate proactively with a distributed team
2. Write high-quality, idiomatic Python code to create new features
3. Debug issues and interact with upstream communities publicly
4. Work with helpful and talented engineers, including experts in many fields
5. Discuss ideas and collaborate on solutions
6. Work from home with global travel for 2 to 4 weeks per year for internal and external events


What we are looking for in you

* 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


Additional Skills That You Might Also Bring

You might also bring experience from the following, which will influence the role and level considered:

* 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 private cloud solutions like OpenStack
* Experience with operating Kubernetes clusters and a belief in using it for serious persistent data services


What we offer you

Your base pay depends on factors such as location, experience, knowledge, and skills. Additional benefits may include annual bonuses and sales incentives based on revenue or utilization. Our compensation philosophy emphasizes equity across our global workforce.

We provide additional benefits reflecting our values, which may vary by work location:

* Fully remote working environment - we've been remote since 2004!
* Personal learning and development budget of $2,000 USD per annum
* Annual compensation review
* Recognition rewards
* Annual holiday leave
* Parental leave
* Employee Assistance Programme
* Opportunities to travel for 'sprints'
* Travel upgrades for long-haul company events


About Canonical

Canonical is a pioneering tech firm leading the global move to open source. As the publisher of Ubuntu, a key open source project and platform for AI, IoT, and cloud, we are changing the world daily. We recruit globally and set high standards for our team, expecting excellence.

Since 2004, Canonical has been a remote-first company. Working here means thinking differently, working smarter, learning new skills, and elevating your game. We offer a unique perspective on 21st-century digital business.

Canonical is an equal-opportunity employer. We celebrate diversity in experience, perspectives, and backgrounds, believing it creates a better work environment and products. All applications will be considered fairly regardless of your identity.

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