About the RoleCanonical 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 technologies, spanning from big data, through NoSQL, cache‐layer capabilities, and analytics, all the way to structured SQL engines (similar to the 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). Engineers who thrive at Canonical are mindful of open‐source community dynamics and equally aware of the needs of large, innovative organisations.Location: This role can be filled in European, Middle East and African time zones.What Your Day Will Look LikeThe data platform team is responsible for the automation of data platform operations, with the mission of managing and integrating Big Data platforms at scale. This includes ensuring fault‐tolerant replication, TLS, installation, backups and much more; 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.Key Responsibilities
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Collaborate proactively with a distributed teamWrite high‐quality, idiomatic Python code to create new featuresDebug issues and interact with upstream communities publiclyWork with helpful and talented engineers including experts in many fieldsDiscuss ideas and collaborate on finding good solutionsWork from home with global travel for 2 to 4 weeks per year for internal and external events
What We Are Looking For In You
Proven hands‐on experience in software development using PythonProven hands‐on experience in distributed systems, such as Kafka and SparkHave a Bachelor's or equivalent in Computer Science, STEM, or a similar degreeWillingness to travel up to 4 times a year for internal events
Additional Skills That You Might Also Bring
Experience operating and managing other data platform technologies, SQL (MySQL, PostgreSQL, Oracle, etc.) and/or NoSQL (MongoDB, Redis, ElasticSearch, etc.), similar to DBA level expertiseExperience with Linux systems administration, package management, and infrastructure operationsExperience with the public cloud or a private cloud solution like OpenStackExperience with operating Kubernetes clusters and a belief that it can be used for serious persistent data services
What We Offer You
Fully remote working environment – we've been working remotely since 2004!Personal learning and development budget of 2,000 USD per annumAnnual compensation reviewRecognition rewardsAnnual holiday leaveParental leaveEmployee Assistance ProgrammeOpportunity to travel to new locations to meet colleagues twice a yearPriority Pass for travel and travel upgrades for long‐haul company events
About CanonicalCanonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence – in order to succeed, we need to be the best at what we do.Canonical has been a remote‐first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st‐century digital business.Canonical is an equal‐opportunity employer. We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. xjrgpwk Whatever your identity, we will give your application fair consideration.Software Engineer Data Infrastructure Kafka • Turin, Turin, IT#J-18808-Ljbffr