Software Engineer - Data Platform at Canonical

This is an exceptional opportunity for an experienced software engineer passionate about delivering high quality, reliable and automated infrastructure based on open source software running on Kubernetes, the public cloud and bare-metal. We are facing the challenge of fault-tolerant mission critical distributed systems and intend to deliver the world's best automation solution for delivering data platforms.

Experience using data platform tools is desirable, but not over hands-on experience installing, configuring and operating such technologies. Applicants should be passionate about the future of the software defined datacenter, automation, distributed systems, and open source. Canonical is a globally distributed team of engineers who share that passion. Engineers who thrive at Canonical are mindful of open source community dynamics, and equally aware of the needs of large, innovative organizations.

What you'll do

• Collaborate proactively with a distributed team
• Write high quality, idiomatic Python code to create new features
• Debug issues and interact with upstream communities, in the open
• 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 2 to 4 weeks for internal and external events

Who you are

• You love technology and working with brilliant people
• You have a Bachelor's or equivalent in Computer Science, STEM or similar degree
• You are experienced with Linux systems administration, package management, and operations
• You have hands-on experience with at least one public cloud and experience with private cloud solutions like OpenStack
• You are experienced with Kubernetes and believe it can be used for serious persistent data services
• You are an accomplished Python programmer that enjoys challenging projects in mission-critical environments
• You have experience operating and managing data platform technologies like PostgreSQL, MySQL, MongoDB, Opensearch, Kafka, Yugabyte