Software Engineer - Data Infrastructure

Canonical; London; Remote; GBP 40,000 - 70,000; Full time

Job summary

Canonical is seeking a Software Engineer for Data Infrastructure to enhance their automation suite for data solutions. The role focuses on creating features for data platforms through collaboration and coding in Python. This position offers a fully remote work environment with opportunities for professional development and travel.

Benefits

Fully remote work environment

Learning and development budget of $2,000 per year

Annual salary review

Recognition rewards

Annual leave

Employee Assistance Programme

Opportunities to travel for meetups and sprints

Travel upgrades for long-haul events

Qualifications

• Proven experience in software development using Python.
• Bachelor’s degree or equivalent in Computer Science, STEM, or similar.
• Willingness to travel up to 4 times a year for events.

Responsibilities

• Automate data platform operations including fault-tolerant replication.
• Write high-quality, idiomatic Python code to create new features.
• Collaborate proactively with a distributed team.

Skills

Python

Education

Bachelor’s degree in Computer Science, STEM, or similar

Tools

PostgreSQL

MySQL

MongoDB

Linux

Kubernetes

Job description

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Software Engineer - Data Infrastructure, London

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 range of data stores and technologies, including big data, NoSQL, cache-layer capabilities, analytics, and structured SQL engines.

We are tackling fault-tolerant, mission-critical distributed systems and aim to deliver the world's best automation solutions for data platforms.

Openings range from junior to senior levels. We will help you find a suitable position based on your experience and interests. Engineers at Canonical are mindful of open-source community dynamics and the needs of large, innovative organizations.

Location: This is a globally remote role.

What your day will look like

The data platform team automates data platform operations, including fault-tolerant replication, TLS, installation, and more. The role focuses on creating and automating features of data platforms, not analyzing data.

• 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 talented engineers and domain experts
• Discuss ideas and collaborate on solutions
• Work from home with global travel for 2 to 4 weeks per year for events

What we are looking for in you

• Proven experience in software development using Python
• Bachelor’s degree or equivalent in Computer Science, STEM, or similar
• Willingness to travel up to 4 times a year for internal events

Additional skills that you might also bring

Experience with some of the following will influence the role and level considered:

• Managing data platforms like PostgreSQL, MySQL, MongoDB, OpenSearch, Kafka, Yugabyte, Trino, Superset, Atlas, Ranger, Redis
• Linux systems administration and operations
• Public or private cloud experience, e.g., OpenStack
• Operating Kubernetes clusters for persistent data services

What we offer you

Your base salary depends on location, experience, and skills. Additional benefits may include bonuses and incentives based on performance and revenue. Our compensation aims for equity across our global workforce.

• Fully remote work environment
• Learning and development budget of $2,000 per year
• Annual salary review
• Recognition rewards
• Annual leave
• Employee Assistance Programme
• Opportunities to travel for meetups and sprints
• Travel upgrades for long-haul events