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Software Engineer - Data Infrastructure - Kafka

CanonicalHome based - EMEA
Remote Full-time

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Experience Level

Experience

Qualifications

Candidates should possess proven hands-on experience in software development using Python and have a solid background in distributed systems like Kafka and Spark. A Bachelor’s degree or equivalent in Computer Science, STEM, or a related field is required. Additionally, applicants should be open to traveling up to four times a year for internal events. We seek team members who thrive in collaborative environments and have a passion for innovative data solutions.

About the job

Join Canonical as a Software Engineer focusing on Data Infrastructure, where you'll play a crucial role in building our innovative automation suite for multi-cloud and on-premise data solutions tailored for enterprises. Our collaborative data platform team is dedicated to developing managed solutions across a diverse range of data technologies, including big data, NoSQL, caching, analytics, and structured SQL engines like Amazon RDS. Embrace the challenge of creating fault-tolerant, mission-critical distributed systems, and help us deliver unparalleled automation solutions for managed data platforms. We welcome candidates at all experience levels who are eager to learn and grow in Big Data technologies such as Kafka and Spark. At Canonical, we value open-source community dynamics and understand the needs of large, forward-thinking organizations.

About Canonical

Canonical is at the forefront of developing cutting-edge automation solutions for enterprises, aimed at streamlining multi-cloud and on-premise data management. With a commitment to innovation and open-source principles, we empower organizations to harness the full potential of their data assets. Our dynamic work environment fosters collaboration among diverse teams, ensuring that every employee has the opportunity to contribute to impactful projects.

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