Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

Canonical; Chicago (IL); Remote; USD 90,000 - 130,000; Full time

Job summary

An innovative tech firm is seeking a Python and Kubernetes Software Engineer to join a dynamic team focused on Data, AI/ML, and Analytics Solutions. In this exciting role, you will collaborate on cutting-edge open-source solutions that drive enterprise initiatives in cloud computing and data science. You will have the opportunity to work with popular machine learning tools and contribute to the development of an end-to-end data platform that serves a diverse clientele. This position offers a unique distributed work environment with opportunities for personal growth and development, making it an ideal choice for passionate technologists looking to make a significant impact.

Benefits

Personal Learning Budget of $2,000

Annual Compensation Review

Recognition Rewards

Maternity and Paternity Leave

Employee Assistance Programme

Opportunity to Travel to New Locations

Priority Pass for Travel Upgrades

Annual Holiday Leave

Qualifications

• Professional software delivery using Python and Kubernetes.
• Experience with machine learning libraries and automated solutions.
• Ability to work in a distributed team and communicate effectively.

Responsibilities

• Design, build, and maintain solutions for public and private clouds.
• Collaborate with engineers and product managers on data analytics.
• Debug issues and engage with upstream communities.

Skills

Python

Kubernetes

Machine Learning

Linux

Data Analytics

Interpersonal Skills

Problem Solving

Education

Undergraduate Degree in Technical Subject

Exceptional Academic Track Record

Tools

Docker

AWS

Azure

Google Cloud

Kubeflow

MLFlow

DVC

Feast

Apache SuperSet

ClickHouse

Job description

Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

Join to apply for the Python and Kubernetes Software Engineer - Data, AI/ML & Analytics role at Canonical

Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

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Join to apply for the Python and Kubernetes Software Engineer - Data, AI/ML & Analytics role at Canonical

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. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, 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 an end-to-end data analytics and mlops solution composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on workflow, ETL, data governance, and visualization tools like Apache SuperSet, dbt, and Temporal, or data warehouse solutions such as Apache Trino or ClickHouse. Your team will own a solution from the analytics and machine learning space, and integrate with solutions from other teams to build the world's best end-to-end data platform. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.

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.

• 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, and 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 Python
• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Passion for technology evidenced by personal projects and initiatives
• The work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred)
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
• Thoughtfulness and self-motivation
• Result-oriented, with a personal drive to meet commitments
• Ability to travel twice a year, for company events up to two weeks long

Additional Skills That Would Be Nice To Have

• Hands-on experience with machine learning libraries, or tools
• Proven track record of building highly automated machine learning solutions for the cloud
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on an open source project

What we offer colleagues

• 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
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence — in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

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.