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

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Open Source Software, Operating SystemsIndustries

Requirements

Strong understanding of the Linux stack (kernel, networking, storage, application layer)
Experience with Kubernetes and machine-oriented open source applications
Familiarity with distributed systems concepts (observability, identity, tracing)
Proficiency in Python
Ability to debug issues and interact with upstream and Ubuntu communities

Responsibilities

Develop your understanding of the entire Linux stack
Design, build, and maintain data analytics and ML/AI solutions deployed on public and private clouds and local workstations
Work with Kubeflow, MLFlow, DVC, Feast, Apache SuperSet, dbt, Temporal, Apache Trino, and ClickHouse
Collaborate proactively with a distributed team of engineers, designers, and product managers
Debug issues and contribute to the Ubuntu community
Integrate solutions with those from other teams to build a comprehensive data platform

Skills

Key technologies and capabilities for this role

PythonKubernetesKubeflowMLFlowDVCFeastApache SupersetdbtTemporalApache TrinoClickHouseLinux

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position with preference for candidates in a similar time zone to the team.

What is the salary for this role?

This information is not specified in the job description.

What skills are required for this Python and Kubernetes Software Engineer role?

Required skills include strong understanding of the Linux stack (kernel, networking, storage, application layer), experience with Kubernetes and machine-oriented open source applications, familiarity with distributed systems concepts (observability, identity, tracing), and proficiency in Python.

What is the company culture like at Canonical?

Canonical has a founder-led, global distributed collaboration culture that is community-focused.

What makes a strong candidate for this position?

Strong candidates will have proficiency in Python, experience with Kubernetes, a solid understanding of the Linux stack, and familiarity with distributed systems, along with the ability to debug issues and engage with open source communities.

Canonical

Provides enterprise support for Ubuntu OS

About Canonical

Canonical publishes Ubuntu, an open-source operating system, and offers various commercial services for it. Their products include extended security maintenance, kernel livepatch services, and enterprise support, which help businesses maintain secure and efficient infrastructure. Canonical partners with hardware and software vendors to certify that Ubuntu operates well on different devices, enhancing its reliability. The company generates revenue through subscription services, support contracts, and certification fees. Canonical stands out from competitors with its strong emphasis on security, data center automation, and developer experience, making Ubuntu a preferred choice for enterprises. The goal of Canonical is to provide comprehensive, secure, and customizable solutions for a diverse clientele, from individual developers to large organizations.

London, United KingdomHeadquarters

2004Year Founded

$9.6MTotal Funding

EARLY_VCCompany Stage

Enterprise Software, CybersecurityIndustries

1,001-5,000Employees