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

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 degree in Computer Science, STEM, or a similar field
• ▹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), similar to DBA-level expertise
• ▹Experience with Linux systems administration, package management, and infrastructure operations
• ▹Experience with public or private cloud solutions like OpenStack
• ▹Experience operating Kubernetes clusters for serious persistent data services

Soft skills

About the company

Canonical is building a comprehensive automation suite for multi-cloud and on-premise data solutions, spanning big data, NoSQL, cache-layer capabilities, and structured SQL engines, similar to the Amazon RDS approach.