Software Engineer - Data Infrastructure - Kafka

Canonical Group - Seattle, WA

Full-time - Entry Level

Remote - Seattle, WA

Professional, Scientific, and Technical Services

About the position

Canonical is seeking a Software Engineer for its Data Infrastructure team, focusing on building a comprehensive automation suite for multi-cloud and on-premise data solutions. The role involves developing managed solutions for various data technologies, including big data and SQL engines, while ensuring fault-tolerant operations in distributed systems. The position is remote and offers opportunities for collaboration with a global team.

Responsibilities

• Automate data platform operations and manage Big Data platforms at scale.
• Ensure fault-tolerant replication, TLS, installation, and backups.
• Provide domain-specific expertise on data systems to other teams.
• Write high-quality, idiomatic Python code to create new features.
• Debug issues and interact with upstream communities publicly.
• Collaborate proactively with a distributed team.

Requirements

• Proven hands-on experience in software development using Python.
• Experience in distributed systems, such as Kafka and Spark.
• Bachelor's or equivalent in Computer Science, STEM, or a similar degree.

Nice-to-haves

• Experience operating and managing SQL (MySQL, PostgreSQL, Oracle) and/or NoSQL (MongoDB, Redis, ElasticSearch) technologies.
• Experience with Linux systems administration and infrastructure operations.
• Experience with public or private cloud solutions like OpenStack.
• Experience with operating Kubernetes clusters.

Benefits

• Fully remote working environment.
• Personal learning and development budget of 2,000 USD per annum.
• Annual compensation review.
• Recognition rewards.
• Annual holiday leave.
• Parental Leave.
• Employee Assistance Programme.
• Opportunity to travel to new locations to meet colleagues twice a year.
• Priority Pass for travel and travel upgrades for long haul company events.