Software Engineer - Data Infrastructure - Kafka
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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). 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 like
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. 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.

Collaborate proactively with a distributed team
Write high-quality, idiomatic Python code to create new features
Debug issues and interact with upstream communities publicly
Work with helpful and talented engineers including experts in many fields
Discuss ideas and collaborate on finding good solutions
Work 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 Python
Proven hands-on experience in distributed systems, such as Kafka and Spark
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

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 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

What we offer you
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. 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. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. 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!
Personal learning and development budget of 2,000USD per annum
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues twice a year
Priority Pass for travel and travel upgrades for long haul company events

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. Whatever your identity, we will give your application fair consideration.
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Seniority Level

Entry level

Employment Type

Full-time

Job Function

Engineering and Information Technology

Industries

Software Development

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