Software Engineer – Data Infrastructure – Kafka (Remote) at Canonical Nigeria Remote

Job Title: Software Engineer – Data Infrastructure – Kafka

Location: Lagos (Remote)

Description

• We are 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 a 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 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.

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

• Have a Bachelor’s or equivalent in Computer Science, STEM, or a similar degree
• Proven hands-on experience in software development using Python
• Proven hands-on experience in distributed systems, such as Kafka and Spark
• 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 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 2,000 USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at ‘sprints’
• Priority Pass for travel and travel upgrades for long haul company events.

Application Closing Date
Not Specified.