Software Engineer - Data Infrastructure

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
• ▹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 data platform technologies like PostgreSQL, MySQL, MongoDB, OpenSearch, Kafka, Yugabyte, Trino, Superset, Atlas, Ranger, and Redis
• ▹Experience with Linux systems administration, package management, and operations
• ▹Experience with public cloud or a private cloud solution like OpenStack
• ▹Experience operating Kubernetes clusters and 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 annum
• ▹Annual compensation review
• ▹Annual bonuses and sales incentives based on revenue or utilisation for eligible roles

About the company

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