Software Engineer - Data Infrastructure

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, a foundational open source project and platform for AI, IoT, and the cloud, we are changing the world daily. We recruit globally and set a high standard, expecting excellence from those joining our team.

Canonical has been a remote-first company since 2004. Working with us is a step into the future, challenging you to think differently, work smarter, learn new skills, and elevate your performance. We provide a unique window into 21st-century digital business.

The Opportunity: Software Engineer - Data Infrastructure

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 group developing a full range of data stores and data technologies, spanning big data, NoSQL, cache-layer capabilities, analytics, and structured SQL engines.

We address the interesting problem of fault-tolerant mission-critical distributed systems and aim to deliver the world's best automation solution for data platforms.

We have multiple openings ranging from junior to senior levels, and we will help you identify a suitable position based on your experience and interests. Engineers who excel at Canonical are mindful of open-source community dynamics and equally aware of the needs of large, innovative organizations.

What your day will look like

The data platform team is responsible for automating data platform operations. This includes ensuring fault-tolerant replication, TLS, installation, and more, while also providing domain-specific expertise on the data system to other teams within Canonical. This Software Engineer - Data Infrastructure role focuses on creating and automating data platform features, not analyzing the data within them.

• Collaborate proactively with a distributed team
• Write high-quality, idiomatic Python code to create new features
• Debug issues and interact with upstream communities publicly
• Work with helpful and talented engineers, including experts in many fields
• Discuss ideas and collaborate on finding good solutions
• 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 a subset of experience from the following, which will determine the exact role and level we consider you for:

• 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 a private cloud solution like OpenStack
• Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services

What we offer you

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 utilization. Our compensation philosophy ensures equity across our global workforce.

In addition to a competitive base pay, we provide all team members with additional benefits that reflect our values and ideals. Please note that additional benefits may apply depending on the work location; for more information, please ask your Talent Partner.

• Fully remote working environment - we’ve been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at ‘sprints’
• Priority Pass for travel and travel upgrades for long-haul company events

Key skills/competency

• Python
• Distributed Systems
• Data Platforms
• Automation
• Open Source
• Linux
• Kubernetes
• PostgreSQL
• MongoDB
• Cloud Computing
• Fault Tolerance