Software Engineer - Data Infrastructure - Kafka

Stack

Responsibilities

• ▹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

Requirements

• ▹Proven hands-on experience in software development using Python
• ▹Proven hands-on experience in distributed systems, such as Kafka and Spark
• ▹Bachelor's or equivalent in Computer Science, STEM, or a similar degree
• ▹Willingness to travel up to 4 times a year for internal events

Nice to have

• ▹Experience operating and managing other data platform technologies: SQL (MySQL, PostgreSQL, Oracle) and/or NoSQL (MongoDB, Redis, Elasticsearch), at DBA-level expertise
• ▹Linux systems administration, package management and infrastructure operations
• ▹Public cloud or private cloud such as OpenStack
• ▹Operating Kubernetes clusters, and a belief that it can be used for serious persistent data services

Soft skills

What we offer

• ▹Fully remote working environment, since 2004
• ▹Personal learning and development budget of USD 2,000 per year
• ▹Annual compensation review
• ▹Recognition rewards
• ▹Annual holiday leave
• ▹Parental leave
• ▹Employee Assistance Programme
• ▹Travel to meet colleagues twice a year
• ▹Priority Pass and travel upgrades for long-haul company events
• ▹Annual bonuses or sales incentives for certain roles

About the company

Canonical publishes Ubuntu and is a pioneering tech firm at the forefront of the global move to open source. It recruits globally and has been remote-first since 2004.