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Canonical

<div>
 Canonical is a leading provider of open-source software and operating systems for 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 more than 80 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
 
 Lead Python Software Engineer
 
 who strives for the highest engineering quality, seeks improvements, continuously develops their skills, and applies them at work. This is an exciting opportunity to work with many popular software systems, integrations technologies, and exciting open source solutions.
 
 
 The Commercial Systems unit is conceived as seven engineering teams that closely collaborate with other engineering and business teams at Canonical. Services designed, developed, and operated by the Commercial Systems unit are at the heart of Canonical business and Python plays an integral role in it. We are looking for Python Software Engineers for the Integrations team.
 
 
 The
 
 Integrations
 
 team is responsible for the automation of SAAS user management and onboarding of new data sources to the data mesh. The team designs, develops, and operates a Python based solution to automate SAAS seat management and track spend across the application portfolio. Furthermore the team integrates internal and external data sources into the data mesh using open-source ETL solutions, enabling more data driven decisions in the organization.
 
 
 
 Location
 
 : This role will be based remotely in the EMEA region.
 
 
 
 The role entails
 
 
 
 <ul>
 <li>
 Develop engineering solutions leveraging Python
 </li>
 <li>
 Collaborate with colleagues on technical designs and code reviews
 </li>
 <li>
 Deploy and operate services developed by the team
 </li>
 <li>
 Depending on your seniority, coach, mentor, and offer career development feedback
 </li>
 <li>
 Develop and evangelize great engineering and organizational practices
 
 
 </li>
 </ul>
 
 What we are looking for in you
 
 
 
 <ul>
 <li>
 Exceptional academic track record from both high school and university
 </li>
 <li>
 Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
 </li>
 <li>
 Track record of going above-and-beyond expectations to achieve outstanding results
 </li>
 <li>
 Experience with software development in Python
 </li>
 <li>
 Professional written and spoken English with excellent presentation skills
 </li>
 <li>
 Result-oriented, with a personal drive to meet commitments
 </li>
 <li>
 Ability to travel internationally twice a year, for company events up to two weeks long
 
 
 </li>
 </ul>
 
 Nice-to-have skills
 
 
 
 <ul>
 <li>
 Performance engineering and security experience
 </li>
 <li>
 Experience with Airbyte, Ranger, Temporal, or Trino
 
 
 </li>
 </ul>
 
 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.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Program
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 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 its 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.
 
 
</div>

Lead Python Software Engineer, Commercial Systems

<div>
 We're enabling high-performing, rock-solid MongoDB deployments on any cloud or platform our customers choose. We want to create the world's best open source analog to MongoDB Altas or Amazon DocumentDB, which can be owned, controlled and operated by end-users on their own multi-cloud or on-premise environments.
 
 
 Canonical is looking for an experienced Python developer with a background in MongoDB who will help us to build a fully managed MongoDB solution based on Juju. We're aiming to build the most reliable and secure way to deploy and operate MongoDB on machines, VMs, public cloud and Kubernetes. The MongoDB team is small, meaning you will be a key contributor and your work will have a significant impact on the product and the broader ecosystem.
 
 
 Who you are
 
 
 <ul>
 <li>
 You love technology and working with brilliant people.
 </li>
 <li>
 You are an accomplished senior Python programmer that enjoys challenging projects in mission-critical environments.
 </li>
 <li>
 You have experience operating and managing MongoDB clusters.
 </li>
 <li>
 You are experienced with modern infrastructure deployment automations or with traditional Linux systems administration, operations, and package management.
 </li>
 <li>
 You are passionate about quality and automatic testing.
 
 
 </li>
 </ul>
 Work with one of the industry's pioneers in open source with intelligent engineers at every level from engineer to CTO and CEO level. At Canonical we've honed our remote-first culture since 2004, established in the company from the very beginning. Enjoy a competitive salary, the flexibility to work and live where you wish, and the chance to work exclusively on impactful open source projects.
 
 
 
 Canonical is proud to foster a workplace free from discrimination. We truly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better platform for our users and customers. This is something we value deeply and we encourage everyone to come be a part of the world of Ubuntu.
 
</div>

Senior Software Engineer - Python/MongoDB

PHAZERO

<div>About PhazeRo
At PhazeRo, we are paving the way for businesses to harness the transformative power of data. As a leading data science consultancy, we provide innovative solutions that drive measurable results across numerous industries, including (Renewable) Energy, Finance, Telecoms and BioAI. Our team thrives on creativity and technical excellence, and we are dedicated to fostering an inclusive and collaborative work environment.
Position Overview
We are looking for a skilled Machine Learning Engineer to join our talented team. In this role, you will design, implement, and optimize machine learning models that address complex business challenges. You will work closely with data scientists, software engineers, and product managers to integrate machine learning solutions into our existing systems and create scalable architectures. Your contributions will help enhance our products and drive data-informed decisions across the organization.
Key Responsibilities<ul>
<li>Develop scalable machine learning models and algorithms to solve specific business problems.</li>
<li>Work collaboratively with cross-functional teams to gather requirements and identify opportunities for machine learning applications.</li>
<li>Implement and optimize model deployment pipelines for production environments.</li>
<li>Evaluate model performance and iterate on designs to enhance accuracy and efficiency.</li>
<li>Research and stay current with the latest advancements in machine learning and artificial intelligence.</li>
<li>Document processes and communicate results effectively to stakeholders.</li>
</ul>Requirements<ul>
<li>Bachelor's or Master's degree in Computer Science, Data Science, or a related field.</li>
<li>2+ years of experience in machine learning, data science, or related roles.</li>
<li>Strong proficiency in programming languages such as Python or Java, with deep familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).</li>
<li>Solid understanding of data pipelines, ETL processes, and big data technologies (e.g., Spark, Hadoop).</li>
<li>Experience in model evaluation metrics and techniques for model validation.</li>
<li>Strong problem-solving skills and the ability to work independently.</li>
<li>Excellent communication skills and a collaborative approach to work.</li>
<li>Passion for machine learning and eagerness to stay updated with industry trends.</li>
</ul>Benefits<ul>
<li>An honest, entrepreneurial, collaborative, high performance culture.</li>
<li>Infinite opportunities to learn from industry veterans.
</li><li>Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub.</li>
<li>A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure.</li></ul></div>

Machine Learning Engineer

<div>About Us
PhazeRo stands at the forefront of AI innovation, dedicated to bridging the gap between advanced technology and business solutions. We work across various sectors, such as Energy, Finance, and BioAI, to empower our clients with intelligent automation and data-driven insights. Our team is made up of visionary thinkers and expert engineers who are passionate about making a significant impact in the AI landscape.
Job Overview
We are seeking an experienced AI Engineer to join our dynamic team. In this role, you will design, implement, and maintain AI systems and applications that enhance our product offerings. You will be responsible for developing sophisticated algorithms, conducting research on state-of-the-art AI methodologies, and implementing solutions that drive efficiency and effectiveness within the business. Working with a collaborative team, you will play a key role in shaping the future of AI at PhazeRo.
Key Responsibilities<ul>
<li>Architect and develop AI models and solutions that align with client requirements and business goals.</li>
<li>Collaborate with data scientists and software engineers to integrate AI capabilities into existing products.</li>
<li>Conduct experiments and prototype new algorithms to push the boundaries of our AI offerings.</li>
<li>Monitor and evaluate AI model performance, implementing improvements based on feedback and data analysis.</li>
<li>Stay up-to-date with the latest developments in AI and machine learning technologies.</li>
<li>Document methodologies and communicate findings effectively to both technical and non-technical stakeholders.</li>
</ul>Requirements<ul>
<li>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.</li>
<li>3+ years of experience in AI/Machine Learning engineering or a similar role.</li>
<li>Proficient in programming languages such as Python or Java, with expertise in AI frameworks (e.g., TensorFlow, Keras, PyTorch).</li>
<li>Strong understanding of deep learning, natural language processing, and computer vision techniques.</li>
<li>Experience with cloud platforms (e.g., AWS, Google Cloud) and their AI services.</li>
<li>Ability to work with large datasets and familiarity with data preprocessing techniques.</li>
<li>Strong analytical and critical thinking skills, with a problem-solving mindset.</li>
<li>Excellent interpersonal and communication skills to collaborate effectively with team members and clients.</li>
<li>Passion for AI and a commitment to continuous learning and professional development.</li>
</ul>Benefits<ul>
<li>An honest, entrepreneurial, collaborative, high performance culture.</li>
<li>Infinite opportunities to learn from industry veterans.
</li><li>Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub.</li>
<li>A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure.</li></ul></div>

AI Engineer

<div>
 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 1000+ colleagues in 70+ countries and very few roles based in offices. 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
 
 Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions
 
 to join our teams building open source solutions for public cloud and private infrastructure.
 
 
 As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.
 
 
 We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.
 
 
 
 Location:
 
 This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.
 
 
 
 What your day will look like
 
 
 
 <ul>
 <li>
 Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
 </li>
 <li>
 Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
 </li>
 <li>
 Master distributed systems concepts such as observability, identity, tracing
 </li>
 <li>
 Work with both Kubernetes and machine-oriented open source applications
 </li>
 <li>
 Collaborate proactively with a distributed team of engineers, designers and product managers
 </li>
 <li>
 Debug issues and interact in public with upstream and Ubuntu communities
 </li>
 <li>
 Generate and discuss ideas, and collaborate on finding good solutions
 
 
 </li>
 </ul>
 
 What we are looking for in you
 
 
 
 <ul>
 <li>
 Professional or academic software delivery using Python
 </li>
 <li>
 Exceptional academic track record from both high school and university
 </li>
 <li>
 Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
 </li>
 <li>
 Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
 </li>
 <li>
 Track record of going above-and-beyond expectations to achieve outstanding results
 </li>
 <li>
 Passion for technology evidenced by personal projects and initiatives
 </li>
 <li>
 The work ethic and confidence to shine alongside motivated colleagues
 </li>
 <li>
 Professional written and spoken English with excellent presentation skills
 </li>
 <li>
 Experience with Linux (Debian or Ubuntu preferred)
 </li>
 <li>
 Excellent interpersonal skills, curiosity, flexibility, and accountability
 </li>
 <li>
 Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
 </li>
 <li>
 Thoughtfulness and self-motivation
 </li>
 <li>
 Result-oriented, with a personal drive to meet commitments
 </li>
 <li>
 Ability to travel twice a year, for company events up to two weeks long
 
 
 </li>
 </ul>
 
 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.
 
 
 <ul>
 <li>
 Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
 </li>
 <li>
 Hands-on experience with machine learning libraries, or tools.
 </li>
 <li>
 Experience with container technologies (Docker, LXD, Kubernetes, etc.)
 </li>
 <li>
 Experience with public clouds (AWS, Azure, Google Cloud)
 </li>
 <li>
 Working knowledge of cloud computing
 </li>
 <li>
 Passionate about software quality and testing
 </li>
 <li>
 Experience working on an open source project
 
 
 </li>
 </ul>
 
 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 recognise 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.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Programme
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 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 its 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.
 
 
</div>

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

<div>
 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 talented
 
 Software Engineers
 
 with strong
 
 Python, Packaging and Linux skills
 
 and who want to have a positive impact on the day-to-day workflow of thousands of snap, rock and charm publishers. To be successful on this team you'll need to be interested in packaging formats, build systems and automation that can simplify the lives of developers and engineers trying to ship software to the widest possible audience.
 
 
 We design and maintain specialist Python tools to support the developer build and publication process. The team takes responsibility for tooling that builds snaps, charms and more recently, rocks.
 
 
 Snapcraft allows developers to deliver app updates to millions of Linux systems automatically, eliminating the long tail of supported releases and complex install instructions. Snapcraft enables thousands of applications from over a thousand developers, including well-recognised names like Spotify, Slack, and Microsoft.
 
 
 Likewise, Charmcraft enables collaboration between charmed operator developers, and publication on Charmhub, home of the Charmed Operator Collection. Charmed Operators enable developers to package software like databases, event queues, caches, observability tools, identity tools and more, right alongside the operations code that enables teams to integrate and operate that software at scale from Day 0 to Day 1,000, and beyond.
 
 
 And Rockcraft provides the means for container developers to build production-grade Ubuntu-based container images, regardless of their experience as a software developer. These container images are called Rocks and can be found in various popular container registries, like Docker Hub, offering an opinionated and consistent design that focus on security while providing an homogeneous user experience across all rocks.
 
 
 What we are looking for in you
 
 
 <ul>
 <li>
 You have expertise in Python.
 </li>
 <li>
 You have a strong understanding of the makeup of a modern GNU/Linux distribution.
 </li>
 <li>
 You have a good understanding of build systems and toolchains, including for cross-compilation.
 </li>
 <li>
 Experience working with container technology, such as Docker, Kubernetes and LXD.
 </li>
 <li>
 Use your familiarity with languages, toolchains, frameworks, integrations, and CI systems to extend the snap build ecosystem
 </li>
 <li>
 Work with external open source and commercial projects to understand how we can better serve community needs.
 
 
 </li>
 </ul>
 What we offer you
 
 
 Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
 
 
 In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.
 
 
 <ul>
 <li>
 Fully remote working environment - we've been working remotely since 2004!
 </li>
 <li>
 Personal learning and development budget of 2,000USD per annum
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Parental Leave
 </li>
 <li>
 Employee Assistance Programme
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues at 'sprints'
 </li>
 <li>
 Priority Pass for travel and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 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.
 
 
</div>

Software Engineer (Python/Linux/Packaging)

<div>
 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 Software Engineer for our OpenStack Engineering team. This is an exciting opportunity for a software engineer passionate about open source software, Linux, and OpenStack. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing international software company.
 
 
 As a software engineer on the OpenStack Engineering team, you'll be building Charmed OpenStack and Ceph, a suite of open source Python based charms for deploying and managing OpenStack and Ceph. Your work will bring cloud platform technologies to a wide range of users and computing environments, from desktops to bare metal servers. This role requires a python software developer with a passion for automating infrastructure as code.
 
 
 Applicants should be passionate about the future of the software defined datacenter, distributed systems, and open source. Canonical is a globally distributed team of engineers who share that passion, and you will need to work well in that context. Engineers who thrive at Canonical are mindful of the dynamics of the open source ecosystem, and equally aware of the needs of large, innovative organizations.
 
 
 This job involves international travel several times a year, usually for one week at a time.
 
 
 What you'll do
 
 
 <ul>
 <li>
 Collaborate proactively with a distributed team
 </li>
 <li>
 Write high quality code to create new features
 </li>
 <li>
 Debug issues and produce high quality code to fix them
 </li>
 <li>
 Review code produced by other engineers
 </li>
 <li>
 Discuss ideas and collaborate on finding good solutions
 </li>
 <li>
 Ensure the success of OpenStack and Ceph on multiple architectures
 </li>
 <li>
 Work from home with global travel 2 to 4 weeks for internal and external events
 
 
 </li>
 </ul>
 Who you are
 
 
 <ul>
 <li>
 You love technology and working with brilliant people
 </li>
 <li>
 You are curious, flexible, articulate, and accountable
 </li>
 <li>
 You value soft skills and are passionate, enterprising, thoughtful, and self-motivated
 </li>
 <li>
 You have a Bachelor's or equivalent in Computer Science, STEM or similar degree
 </li>
 <li>
 You have experience with Python
 </li>
 <li>
 You have interest and experience with two or more of the following:Ubuntu Linux - kernel or userspace, Kubernetes, OpenStack, Ceph, AI/ML, QEMU/KVM, LXC/LXD, Python, Go, C, Postgresql, Mongo, Debian packaging, scalable web services
 </li>
 <li>
 You have experience with non-x86 architectures, including s390, arm64, power and others
 </li>
 <li>
 You have experience with OpenStack, OVN, Openvswitch and other related cloud technologies
 
 
 </li>
 </ul>
 What Canonical Offers
 
 
 <ul>
 <li>
 Learning and Development
 </li>
 <li>
 Annual Compensation Review
 </li>
 <li>
 Recognition Rewards
 </li>
 <li>
 Annual Leave
 </li>
 <li>
 Priority Pass for travel
 </li>
 <li>
 Flexible working option
 
 
 </li>
 </ul>
 Canonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world's computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
 
 
 
 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.
 
 
</div>

Software Engineer - OpenStack

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