Software Engineer - Data Infrastructure - Kafka

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

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

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