Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative unit that develops managed solutions for a range of data stores and technologies, from big data through NoSQL and analytics to structured SQL engines. We tackle challenges related to fault-tolerant mission-critical distributed systems with the aim of delivering the best automation solutions for managed data platforms.
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What Your Day Will Look Like:
As part of the data platform team, you will automate data platform operations, managing and integrating Big Data platforms at scale. Responsibilities include ensuring fault-tolerant replication, TLS, installation, backups, and offering domain-specific expertise on data systems to other teams. You will also collaborate with a distributed team and write high-quality, idiomatic Python code to create new features.
What We Are Looking For:
- Proven hands-on experience in software development using Python.
- Experience in distributed systems such as Kafka and Spark.
- A Bachelor’s or equivalent in Computer Science, STEM, or a related field.
- Willingness to travel up to 4 times a year for internal events.
Additional Skills That You Might Also Bring:
- Experience operating and managing data platform technologies (e.g., SQL like MySQL, PostgreSQL, Oracle or NoSQL like MongoDB, Redis, ElasticSearch).
- Experience with Linux systems administration and infrastructure operations.
- Familiarity with public cloud solutions or private cloud solutions like OpenStack.
- Experience with Kubernetes clusters.
Compensation and Benefits:
Your base pay will depend on factors such as geographical location, experience, knowledge, and skills. Benefits include:
- Fully remote working environment.
- Personal learning and development budget of 2,000 USD per annum.
- Annual compensation review and recognition rewards.
- Annual holiday leave and parental leave.
- Employee Assistance Programme.
- Opportunities to travel for internal and external events.
