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 is a collaborative team that develops a managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer ca...

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 managed data platforms.

We are looking for candidates from junior to senior level with interests, experience 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 equally a...

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, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, 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 OpenStack
Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services