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 group that develops a full range of data stores and technologies, from big data and NoSQL to cache-layer capabilities and analytics, as well as structured SQL engines. The OpenSearch team focuses on creating the best enterprise automation solution for search and analytics suites like OpenSearch and Elasticsearch.
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This role is responsible for the automation of OpenSearch operations, including fault-tolerant replication, TLS, installation, and more. Additionally, the role provides domain-specific expertise on the data system to other teams within Canonical. The primary focus is on the creation and automation of features of data platforms rather than analyzing the data.
Location: Jiddah, Makkah, Saudi Arabia (Remote)
Work Conditions:
- Fully remote working environment
- Global travel for 2 to 4 weeks per year for internal and external events
- Personal learning and development budget of 2,000 USD per annum
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Parental Leave
- Employee Assistance Programme
- Priority Pass for travel and travel upgrades for long-haul company events
What We Are Looking For:
- Proven hands-on experience in software development using Python
- Proven hands-on experience in distributed systems development
- 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 You Might Also Bring:
- Experience operating and managing search and analytics engines like Elasticsearch, Logstash, Kibana, and OpenSearch
- Experience with Linux systems administration, package management, and operations
- Familiarity with public cloud solutions or private cloud solutions like OpenStack
- Experience operating Kubernetes clusters
Canonical is an equal-opportunity employer and is dedicated to fostering a workplace that is free from discrimination. We value diversity of experience, perspectives, and backgrounds, which create a better work environment and products.
