Hiring! Python and Kubernetes Software Engineer – Data, Workflows, AI/ML & Analytics

Description:.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 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

The following skills may be helpful to you in the role, but we don’t expect everyone to bring all of them.

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 computing

Passionate about software quality and testing

Experience working on an open source project.

Job type: Full‑time

Work mode: remote

To apply for this job please visit job-boards.greenhouse.io.