Software Engineer - Data Infrastructure - Kafka

Location: Via Milano

Software Engineer - Data Infrastructure - Kafka Canonical is building a comprehensive automation suite to provide multi‑cloud and on‑premise data solutions for the enterprise. The data platform team develops managed solutions for a full range of data stores and technologies, spanning from big data, No

SQL, cache layers, analytics, and structured SQL engines.

We are tackling fault‑tolerant, mission‑critical distributed systems and aim to deliver the world’s best automation solution for managed data platforms.

We seek candidates from junior to senior levels with interests, experience, and willingness to learn about Big Data technologies such as distributed event stores (Kafka) and parallel computing frameworks (Spark). Our engineers thrive in open‑source community dynamics while meeting the needs of large, innovative organisations.

Location:

This role can be filled in European, Middle East and African time zones.

Day‑to‑day responsibilities

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 across many fields

Discuss ideas and collaborate on finding good solutions

Work from home with global travel for 2–4 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 such as Kafka and Spark 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

Experience operating and managing other data platform technologies, such as SQL (MySQL, Postgre

SQL, Oracle, etc.) and/or No

SQL (Mongo

DB, Redis, Elastic Search, etc.), similar to DBA level expertise

Experience with Linux systems administration, package management, and infrastructure operations

Experience with public cloud or a private cloud solution like Open Stack Experience  operating Kubernetes clusters and a belief that they can be used for serious persistent data services

What we offer youYour base pay will depend on various factors including 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.

We provide all team members with additional benefits, reflecting our values and ideals. Please note that benefits may vary by work location; ask your Talent Partner for more information.

Fully remote working environment – we have been working remotely since 2004!

Personal learning and development budget of $2,000 per annum

Annual compensation review

Recognition rewards

Annual holiday leave

Parental leave

Employee Assistance Programme Opportunity to travel to new locations to meet colleagues twice a year Priority Pass for travel and travel upgrades for long‑haul company events

About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the publisher of Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world daily. We recruit on a global basis and set a very high standard for people joining the company.

Canonical has been a remote‑first company since its inception in 2004. Working at Canonical challenges you to think differently, work smarter, learn new skills, and raise your game. It offers 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.

Seniority level

Entry level

Employment type

Full‑time

Job function

Engineering and Information Technology Industries Software  Development
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