Software Engineer for Data and AI Solutions
2 semanas atrás
We are seeking a skilled Software Engineer to join our team in building open source solutions for public cloud and private infrastructure. As a software engineer on this team, you will collaborate on an end-to-end data analytics and machine learning platform composed of popular tools like Kubeflow, MLFlow, DVC, and Feast.
Responsibilities- Design, build, and maintain solutions deployed on public and private clouds and local workstations.
- Work with distributed systems concepts such as observability, identity, and tracing.
- Collaborate proactively with a distributed team of engineers, designers, and product managers.
- Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer.
We are looking for individuals with professional or academic software delivery experience using Python or Golang. You should have an exceptional academic track record and undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path.
You should be able to confidently speak up, exchange feedback, and share ideas without hesitation. A track record of going above-and-beyond expectations to achieve outstanding results is also essential. Passion for technology evidenced by personal projects and initiatives is highly valued.
What We Offer- A competitive salary of $120,000 - $180,000 per year, depending on location and experience.
- 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.
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.
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