Canonical – We deliver open source to the world faster, more securely, and more cost-effectively than any other company. We develop Ubuntu, the world’s most popular enterprise Linux from cloud to edge, together with a passionate global community of 200,000 contributors. Ubuntu means ‘humanity to others. We chose it because it embodies the generosity at the heart of open source, the new normal for platforms and innovation. Together with a community of 200,000, we publish an operating system that runs from the tiny connected devices up to the world’s biggest mainframes, the platform that everybody uses on the public cloud, and the workstation experience of the world’s most productive developers. Secure and reliable, elegant and intuitive, and open for innovation – Ubuntu is the future of open source, which is why it’s the fastest-growing Linux in the world despite already being the most widely deployed.

We are recruiting to fill the position below:

Job Title: Software Engineer – Data Infrastructure – Kafka

Location: Lagos
Job type: Full-time

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:

• You might also bring a subset of experience from the followings that can help Data Platform to achieve its challenging goals and determine the level we will consider you for:
• 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 the 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 colleagues

• We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance.
• In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues
• Priority Pass and travel upgrades for long-haul company events.

Application Closing Date
Not Specified.