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Software Developer in Observability

AI Summary
Canonical is seeking a junior software developer to help build its cloud-native observability and monitoring stack. The role centers on developing, testing, documenting, debugging, and reviewing software using Python and Go in an open-source environment. The engineer will work with Linux, Kubernetes, OpenStack, containers, telemetry, and distributed systems alongside a globally distributed team. This is a remote full-time role across EMEA and the Americas, with periodic travel for team and community events.
Remote from
USA, Canada, EMEA
Salary
Undisclosed
Employment
Full Time
Experience
Entry-Level, Junior
Published
Apply before
7 Dec 2026
Listing views
12
Application actions
0
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Opportunity details

About this role.

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. 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 1200+ colleagues in 75+ countries and very few office-based roles. 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 are hiring a Junior developer with a proven track record in Python and/or Go. As part of the Observability team, you will develop a cloud-native monitoring stack that composes best-in-class open-source monitoring tools. The stack is opinionated, resilient, and scalable, providing deep insights out of the box. The user experience is polished and seamless for the end-users, and its administrators will enjoy smooth, lightweight Day 1 and Day 2 operations.

This is an exciting opportunity for a software engineer passionate about open source software, Linux, Kubernetes, and Observability. Build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, the growing international software company behind Ubuntu.

The monitoring stack will monitor applications running on a mix of cloud technologies such as Kubernetes and OpenStack, as well as bare-metal, virtual machines and containers. The stack will be capable of monitoring applications and infrastructure irrespective of whether they are operated by Juju, and will leverage multiple data sources at various levels of the architecture, including Juju itself, to contextualize the collected telemetry and insights delivered to the end-users.

You can read more about the project here and here.

Location: This role will be based remotely in the EMEA and Americas regions

The role entails

  • Collaborate proactively with a globally distributed team
  • Write, test and document high quality code to create new features
  • Debug issues and interact with a vibrant community
  • Review code produced by other engineers
  • Attend conferences to represent Canonical and the Charmed Observability Stack
  • Work from home with global travel 2 to 4 weeks for internal and external events

What we are looking for in you

  • You love technology and working with brilliant people
  • You value soft skills and are passionate, enterprising, thoughtful, and self-motivated
  • You have a Bachelor’s or equivalent in Computer Science, STEM or similar degree
  • You are a skilled Python developer, preferably with a track record in open source
  • You have a working knowledge of Go
  • You have interest and experience with two or more of the following: Ubuntu Linux, container images, Debian packaging, snap, distributed systems.

What we offer colleagues

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 recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

  • 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
  • Team Member Assistance Program & Wellness Platform
  • Opportunity to travel to new locations to meet colleagues
  • Priority Pass and travel upgrades for long-haul company events

About Canonical

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 our 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.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

3/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThe position is junior-level, but it requires practical Python expertise and familiarity with several infrastructure and cloud-native technologies. Working asynchronously in a distributed open-source team also requires strong ownership and clear technical communication.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$90,000
US market range (per year)$75k–$110k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer base-pay amount is disclosed. The annual USD figures are AI estimates for a junior cloud-native software developer in the US market; the yearly cadence is inferred from standard full-time professional employment conventions.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you design a Python service that collects and enriches monitoring telemetry from multiple sources?

I would define stable interfaces for each collector, normalize incoming data into a common model, and add contextual enrichment through a separate layer. I would include retries, timeouts, structured logging, metrics, and tests for both individual collectors and end-to-end data flows.

Describe your experience with Python and how you ensure code quality.

I use clear module boundaries, type hints where useful, automated unit tests, formatting and linting, and peer review. I also document public interfaces and validate error paths so that the code remains maintainable in a team environment.

What are the key observability signals, and how would you use them to investigate an incident?

The core signals are metrics, logs, and traces. I would begin with metrics to identify the scope and timing of the issue, use logs to examine errors and events, and use traces to follow affected requests across services and isolate the failing dependency or operation.

How do Kubernetes and container images affect the design of a monitoring platform?

They create dynamic workloads, short-lived instances, and frequent configuration changes, so discovery and labeling must be automated. A platform should collect workload and infrastructure metadata, handle changing targets reliably, and avoid excessive resource use on the cluster.

How would you collaborate effectively in a globally distributed engineering team?

I would communicate progress and decisions clearly in writing, keep tickets and documentation current, and make pull requests focused and easy to review. I would also proactively raise blockers, respect asynchronous workflows, and seek feedback early when requirements are unclear.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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