Senior Engineer

2 giorni fa

Pisa PI, Italia Canonical A tempo pieno

Software Engineer - Data Infrastructure - Kafka
Join to apply for the Software Engineer - Data Infrastructure - Kafka role at Canonical
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 team that develops managed solutions for a full range of data stores and data technologies, spanning from big data, through NoSQL, cache-layer capabilities, and analytics; all the way to structured SQL engines (similar to an Amazon RDS approach).
We are facing the interesting problem of fault-tolerant, mission-critical distributed systems and intend to deliver the world's best automation solution for delivering managed data platforms.
We are looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). The data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. but also provides domain-specific expertise on the actual data system to other teams within Canonical. This role is focused on the creation and automation of infrastructure features of data platforms, not analysing and/or processing the data in them. Write high-quality, idiomatic Python code to create new features
Work from home with global travel for 2 to 4 weeks per year for internal and external events
Proven hands-on experience in software development using Python
Have a Bachelor's or equivalent in Computer Science, STEM, or a similar degree
Willingness to travel up to 4 times a year for internal events
Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc), similar to DBA level expertise
Experience with Linux systems administration, package management, and infrastructure operations
Experience with public cloud or a private cloud solution like OpenStack
Experience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
Fully remote working environment – we've been working remotely since 2004
Annual compensation review
Annual holiday leave
Opportunity to travel to new locations to meet colleagues twice a year
Priority Pass for travel and travel upgrades for long haul company events
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Entry level
Full-time
Engineering and Information Technology
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