Python and Kubernetes Software Engineer - Data, Workflows, AI / ML & Analytics
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT.
The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI / ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.
As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse.
Location : This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.
What your day will look like
- Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
- Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
- Master distributed systems concepts such as observability, identity, tracing
- Work with both Kubernetes and machine-oriented open source applications
- Collaborate proactively with a distributed team of engineers, designers and product managers
- Debug issues and interact in public with upstream and Ubuntu communities
- Generate and discuss ideas, and collaborate on finding good solutions
What we are looking for in you
Professional or academic software delivery using PythonExceptional academic track record from both high school and universityUndergraduate degree in a technical subject or a compelling narrative about your alternative chosen pathConfidence to respectfully speak up, exchange feedback, and share ideas without hesitationTrack record of going above-and-beyond expectations to achieve outstanding resultsPassion for technology evidenced by personal projects and initiativesThe work ethic and confidence to shine alongside motivated colleaguesProfessional written and spoken English with excellent presentation skillsExperience with Linux (Debian or Ubuntu preferred)Excellent interpersonal skills, curiosity, flexibility, and accountabilityAppreciative of diversity, polite and effective in a multi-cultural, multi-national organisationThoughtfulness and self-motivationResult-oriented, with a personal drive to meet commitmentsAbility to travel twice a year, for company events up to two weeks longAdditional skills that would be nice to have
Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.Hands-on experience with machine learning libraries, or tools.Experience with container technologies (Docker, LXD, Kubernetes, etc.)Experience with public clouds (AWS, Azure, Google Cloud)Working knowledge of cloud computingPassionate about software quality and testingExperience working on an open source projectWhat we offer colleagues
Distributed work environment with twice-yearly team sprints in personPersonal learning and development budget of USD 2,000 per yearAnnual compensation reviewRecognition rewardsAnnual holiday leaveMaternity and paternity leaveEmployee Assistance ProgrammeOpportunity to travel to new locations to meet colleaguesPriority Pass, and travel upgrades for long haul company eventsCanonical 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.
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