data
Posted Apr 11, 2024Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
at Canonical
On-site
Responsibilities
- Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
- Collaborate proactively with a distributed team of engineers, designers and product managers
- Generate and discuss ideas, and collaborate on finding good solutions
- Track record of going above-and-beyond expectations to achieve outstanding results
- Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud. Hands-on
Requirements
- Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT.
- 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.
- These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.
- Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
- Master distributed systems concepts such as observability, identity, tracing
- Work with both Kubernetes and machine-oriented open source applications
- 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
- Experience with Linux (Debian or Ubuntu preferred)
- 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 computing
- Experience working on an open source project What we offer colleagues
- 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.
Benefits
- 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 recognise outstanding performance.
- In addition to base pay, we offer a performance-driven annual bonus or commission.
- Personal learning and development budget of USD 2,000 per year
- Annual compensation review Recognition rewards
- Annual holiday leave
- Maternity and paternity leave
Additional details
- Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets.
- 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 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.
- 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.