Remote Junior Observability Engineer Python/Go

Canonical; Portland (OR); On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Personal learning and development budget of USD 2,000 per year

Annual compensation review

Recognition rewards

Annual holiday leave

Maternity and paternity leave

Wellness programs

Priority Pass for travel upgrades

Job summary

Canonical is looking for a Junior Developer to join their Observability team. This remote role welcomes applicants from the Americas and EMEA regions. You'll be responsible for developing resilient, cloud-native observability tools and ensuring a high-quality user experience.

Ideal candidates should have a solid background in Python and some knowledge of Go along with a passion for open source software, Linux, and Kubernetes. Canonical offers a distributed work environment with biannual sprints and a comprehensive benefits package including a learning budget and annual leave.

Qualifications

• Proven track record in Python and/or Go development.
• Experience with open source projects is a plus.
• Strong soft skills and motivation are crucial.

Responsibilities

• Collaborate with a globally distributed team.
• Write, test, and document high-quality code.
• Debug issues and engage with the community.
• Review code from fellow engineers.
• Represent Canonical at conferences.
• Work remotely with some global travel.

Skills

Python

Go

Open source software

Linux

Kubernetes

Education

Bachelor's in Computer Science or equivalent

Tools

Ubuntu

Debian packaging

Snap

Distributed systems

Job description

Canonical is looking for a Junior Developer to join their Observability team. This remote role welcomes applicants from the Americas and EMEA regions. You'll be responsible for developing resilient, cloud-native observability tools and ensuring a high-quality user experience.

Ideal candidates should have a solid background in Python and some knowledge of Go along with a passion for open source software, Linux, and Kubernetes. Canonical offers a distributed work environment with biannual sprints and a comprehensive benefits package including a learning budget and annual leave.