Software Engineer - Data Infrastructure - Kafka
Dubai, Dubai, UAE/Dubai
Listed on 2026-03-01
-
Software Development
Data Engineer, Software Engineer
Software Engineer - Data Infrastructure - Kafka
Canonical | Posted Feb 24, 2026
Full-time
Dubai
Negotiable
Entry (0-2 yrs)
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 data technologies, spanning from big data, through No
SQL, cache-layer capabilities, and analytics to structured SQL engines (similar to Amazon RDS approach). We are aiming to deliver fault-tolerant, mission-critical distributed systems and the world’s best automation solution for managed data platforms. We are looking for candidates from junior to senior level with interest 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 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 s includes ensuring fault-tolerant replication, TLS, installation, backups and much more; and 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.
- 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
- 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
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:
- Experience operating and managing other data platform technologies, 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 the public cloud or a private cloud solution like Open Stack
- Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
- Fully remote working environment - we ve been working remotely 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
- Opportunity to travel to new locations to meet colleagues twice a year
- Priority Pass for travel and travel upgrades for long haul company events
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, a leading open source project and platform for AI, IoT and the cloud, we recruit on a global basis and set a high standard for people joining the company. We expect excellence and strive to be the best at what we do.
Canonical has been a remote-first company since 2004. Work at Canonical is a step into the future, challenging you to think differently, work smarter, and learn new skills.
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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