Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team develops a full range of data stores and data technologies, spanning big data, NoSQL, cache-layer capabilities, and structured SQL engines.
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This role will focus on the creation and automation of features of data platforms, ensuring fault-tolerant replication, TLS installation, and more. The position emphasizes collaboration within a distributed team, writing high-quality Python code, debugging issues, and interacting with upstream communities.
Work Conditions:
- Fully remote working environment.
- Global travel required for 2 to 4 weeks per year for internal and external events.
Requirements:
- Proven hands-on experience in software development using Python.
- Experience in distributed systems.
- Bachelor's degree or equivalent in Computer Science, STEM, or a similar field.
- Willingness to travel up to 4 times a year for internal events.
Additional Skills (Preferred):
- Experience with data platform technologies such as PostgreSQL, MySQL, MongoDB, OpenSearch, Kafka, Yugabyte, Trino, Superset, Atlas, Ranger, and Redis.
- Familiarity with Linux systems administration and operations.
- Experience with public or private cloud solutions like OpenStack.
- Operating Kubernetes clusters, particularly for persistent data services.
What We Offer:
- Competitive base pay dependent on location, experience, knowledge, and skills.
- Fully remote working environment since 2004.
- Personal learning and development budget of $2,000 per annum.
- Annual compensation review and recognition rewards.
- Annual holiday and parental leave.
- Employee Assistance Programme.
- Opportunities to travel and meet colleagues at company events.
About Canonical:
Canonical is a pioneering tech firm leading the move to open source. As the publisher of Ubuntu, we are changing the world. We recruit globally and uphold high standards for our team, fostering diversity and inclusion in our workplace.
