What your day will look like
The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault-tolerant replication, TLS, installation, backups and much more; but 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
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
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
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