Software Engineer - Data Infrastructure - Kafka

Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is responsible for developing managed solutions for a full range of data stores and technologies, from big data to NoSQL, cache-layer capabilities, analytics, and structured SQL engines.

As a Software Engineer in the Data Infrastructure team, you will:

• Collaborate with a distributed team to create new features using high-quality, idiomatic Python code
• Debug issues and interact with upstream communities publicly
• Work on fault-tolerant mission-critical distributed systems
• Focus on the creation and automation of infrastructure features for data platforms
• Ensure fault-tolerant replication, TLS, installation, backups, and more for Big Data technologies like Kafka and Spark
• Provide domain-specific expertise on data systems to other teams within Canonical

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

Additional skills that would be beneficial:

• Experience operating and managing other data platform technologies (SQL, NoSQL)
• Linux systems administration and infrastructure operations experience
• Experience with public cloud or private cloud solutions like OpenStack
• Experience with operating Kubernetes clusters

Canonical offers a competitive base pay, fully remote working environment, personal learning and development budget, annual compensation review, recognition rewards, annual holiday leave, parental leave, and more. The company values diversity and fosters a workplace free from discrimination.

Join Canonical to be part of a pioneering tech firm that's changing the world on a daily basis through open source technology.