[All remote jobs](https://jobicy.com/jobs.md)[![Canonical logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/b4d068a9-221-1.png)](https://jobicy.com/company/canonical-ltd.md)[Canonical](https://jobicy.com/company/canonical-ltd.md)

# Software Developer (Backend SaaS)

AI Summary Canonical is seeking a backend SaaS software developer to help evolve Landscape, its platform for managing Ubuntu system fleets. The role focuses on developing Python-based web services and APIs, modernizing the codebase, fixing defects, and maintaining strong automated-testing and review practices. The engineer will work in a distributed Americas-based team and collaborate closely with DevOps on the hosted Landscape SaaS offering. Candidates need experience with Python, Flask or Django, relational databases and ORMs, as well as comfort using Ubuntu for development and deployment.[Apply for this job](#job-application)[View company](https://jobicy.com/company/canonical-ltd.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md), [Canada](https://jobicy.com/job-region/canada.md), [LATAM](https://jobicy.com/job-region/latam.md)SalaryUndisclosedDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceOpen levelPublished10 Nov 2026Apply before10 Dec 2026Listing views44Application actions4Application toolkit

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Opportunity details

## About this role.

[Canonical](https://jobicy.com/company/canonical-ltd.md) 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.

This is an exciting opportunity for a software engineer passionate about open source software, Linux, Python, and web services at scale. We are building the next generation management solution for Ubuntu in the enterprise – on premise and on the public cloud – to enable large estate observability, telemetry, security, compliance and operations. Build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing international software company.

Landscape is the leading management tool to deploy, monitor and manage fleets of Ubuntu systems, including package and repository management, health and security monitoring, hardware inventory, and automation. As Landscape software engineer you will be responsible for contributing on a distributed development team participating in all facets of the development process.

Location: This role will be based remotely in the Americas region.

### What you’ll do

* Collaborate proactively with a distributed team
* Write high-quality code to create new features, fix bugs and modernize the Landscape codebase
* Demonstrate your strong commitment to code quality and automated testing
* Participate in the engineering process with code and architectural reviews
* Take personal ownership of problems and design and deliver solutions
* Work remotely with global travel 2 to 4 weeks for internal and external events
* Assist with release management during each development cycle
* Collaborate with devops for Landscape SaaS, Canonical’s hosted Landscape

### Who you are

* You love technology and working with brilliant people
* You are curious, flexible, articulate, and accountable
* 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 have proficiency developing public-facing APIs and web applications, preferably using Python.
* Experience with Python and web frameworks such as Flask and Django.
* Experience with databases, and ORMs (PostgreSQL a plus)
* You are comfortable with Ubuntu as a development and deployment platform.

### 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.](https://canonical.com/careers/diversity/identity)

#LI-remote

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>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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![Upload CV](data:image/svg+xml;base64,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)

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## Role DNA

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

### Job Complexity

4/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

4/5IndependentCollaborative

AI insightThis is a technically demanding backend role involving scalable management software, public APIs, database-backed services, code reviews, releases, and collaboration with DevOps. Success requires independent ownership in a globally distributed engineering organization.

## Salary analysis

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

Estimated job median (per year)Market rate$120,000US market range (per year)$95k–$150k0$165k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer base-pay range is disclosed. Estimated annual USD market compensation for a backend SaaS engineer serving the Americas is approximately $95,000–$150,000, with an indicative midpoint of $120,000; this is an AI estimate, not employer-provided compensation.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Backend Development](https://jobicy.com/jobs?search_keywords=Backend%20Development.md)[SaaS](https://jobicy.com/jobs?search_keywords=SaaS.md)[REST APIs](https://jobicy.com/jobs?search_keywords=REST%20APIs.md)[Web Applications](https://jobicy.com/jobs?search_keywords=Web%20Applications.md)[Flask](https://jobicy.com/jobs?search_keywords=Flask.md)[Django](https://jobicy.com/jobs?search_keywords=Django.md)[PostgreSQL](https://jobicy.com/jobs?search_keywords=PostgreSQL.md)[Object-Relational Mapping](https://jobicy.com/jobs?search_keywords=Object-Relational%20Mapping.md)[Ubuntu](https://jobicy.com/jobs?search_keywords=Ubuntu.md)[Linux](https://jobicy.com/jobs?search_keywords=Linux.md)[Automated Testing](https://jobicy.com/jobs?search_keywords=Automated%20Testing.md)[Code Review](https://jobicy.com/jobs?search_keywords=Code%20Review.md)[Release Management](https://jobicy.com/jobs?search_keywords=Release%20Management.md)[DevOps Collaboration](https://jobicy.com/jobs?search_keywords=DevOps%20Collaboration.md)

Sample interview questionsHow would you design a reliable public API for managing a large fleet of Ubuntu systems?I would begin with clear resource models, consistent versioning, secure authentication and authorization, idempotent operations where appropriate, pagination for collection endpoints, and structured error responses. I would document the API contract, add integration tests, instrument key paths, and design asynchronous workflows for long-running fleet operations.

Describe how you approach modernizing a mature Python codebase without disrupting existing users.

I first identify high-risk dependencies, establish test coverage around current behavior, and break the work into small reversible changes. I use feature flags or compatibility layers where needed, prioritize incremental refactoring, and validate each release through automated checks, review, monitoring, and feedback from dependent teams.

What practices do you use to ensure quality in a distributed engineering team?

I rely on clear written design notes, small focused pull requests, constructive code reviews, automated unit and integration tests, CI checks, and visible ownership of follow-up work. I also communicate progress and risks early so that colleagues across time zones can make decisions asynchronously.

How have you used PostgreSQL and an ORM to build dependable application features?

I model data carefully around access patterns and integrity constraints, use migrations that can be safely deployed, and inspect generated ORM queries for performance-sensitive paths. I add indexes based on measured queries, use transactions for consistency, and test edge cases such as concurrent updates and failed migrations.

How would you collaborate with DevOps when operating a hosted SaaS service?

I would treat operational requirements as part of development by adding observability, meaningful logs, metrics, health checks, and safe deployment practices. I would work with DevOps to define service-level expectations, investigate incidents using evidence, automate recurring operational tasks, and incorporate lessons from production into the application design.

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