Himalayas · Partner listingSenior Software Engineer - Digital Workplace
Canonical
⌖ United KingdomSalary not providedRemoteNot specified · Full-time
Source: Himalayas ↗
Location & working arrangementWorking arrangement is supplied by the provider. Check the original advert for attendance and travel requirements.
Provider location / applicant eligibility: Afghanistan, Albania, Algeria, Andorra, Angola, Antarctica, Armenia, Austria, Azerbaijan, Bahrain, Belarus, Belgium, Benin, Bosnia and Herzegovina, Botswana, Bouvet Island, Bulgaria, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, The Democratic Republic of the, Cook Islands, Croatia, Curaçao, Cyprus, Czechia, Côte d'Ivoire, Denmark, Djibouti, Egypt, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Faroe Islands, Finland, France, French Guiana, French Southern Territories, Gabon, Gambia, Georgia, Germany, Ghana, Gibraltar, Greece, Greenland, Guadeloupe, Guernsey, Guinea, Guinea-Bissau, Heard Island and McDonald Islands, Holy See (Vatican City State), Hungary, Iceland, Iran, Iraq, Ireland, Isle of Man, Israel, Italy, Jersey, Jordan, Kazakhstan, Kenya, Kosovo, Kuwait, Kyrgyzstan, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Mali, Malta, Martinique, Mauritania, Mauritius, Mayotte, Moldova, Monaco, Montenegro, Morocco, Mozambique, Namibia, Netherlands, Niger, Nigeria, North Macedonia, Norway, Oman, Palestine, State of, Poland, Portugal, Qatar, Romania, Rwanda, Réunion, Saint Barthélemy, Saint Helena, Ascension and Tristan da Cunha, Saint Martin (French part), Saint Pierre and Miquelon, San Marino, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Sint Maarten (Dutch part), Slovakia, Slovenia, Somalia, South Africa, South Sudan, Spain, Sudan, Svalbard and Jan Mayen, Sweden, Switzerland, Syrian Arab Republic, Tajikistan, Tanzania, Togo, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uzbekistan, Western Sahara, Yemen, Zambia, Zimbabwe, Åland Islands
About the 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.
The role
We build internal systems to the same standard as our public products: specified, tested, reviewed and observable. We want engineers who enjoy that rigour and take full ownership of what they ship.
What you will do
Design and deliver systems and platforms, including intuitive UIs
Build Go services and APIs that connect many data sources
Design data models and architecture for connected systems
Turn data into clear dashboards and visualisations
Build LLM-powered features into everyday workflows
Write specs, estimate work and deliver to agreed criteria
Set a high bar in code review, testing and documentation
Partner with non-technical colleagues to turn needs into tools
Mentor engineers and improve how the team works
Who you are
You have deep expertise in at least two of:
Back-end services in Go
Modern front-end engineering [React/Svelte/TypeScript]
Data engineering and analytics
Data visualisation
Applied LLM/ML in production workflows
You also:
Treat testing, security, performance and accessibility as part of the job
Handle sensitive people data with care
Write clearly and work well in a distributed team
Own your work from first spec to production
Nice to have: Python, Go, React, Svelte, PostgreSQL, Kubernetes, a history of building tools for HR, finance or operations.
The ideal candidate will use their passion for experimentation and analytics to build tomorrow’s tech organisation. This team will help us gain insights into the business and our talent pool, and use those insights to improve the experience of working at Canonical.
As a Workplace Engineer at Canonical, you need an analytical, data-driven mind and a passion to connect and make sense of interesting data from APIs. We focus heavily on the collection of metrics, optimising processes, and ways of working across Canonical. You need to demonstrate leadership, excellence, and consistency and will mentor others in the team.
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.
Originally posted on Himalayas
Skills mentioned in the listing
PythonTypeScriptReactKubernetesPostgreSQLData scienceData engineeringAccessibilityData visualisation
Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.
Why these skills appear
Python · desirable
a distributed team Own your work from first spec to production Nice to have: Python, Go, React, Svelte, PostgreSQL, Kubernetes, a history of building tools for HR, finance or operations. The ideal candidate will use t
TypeScript · mentioned
st two of: Back-end services in Go Modern front-end engineering [React/Svelte/TypeScript] Data engineering and analytics Data visualisation Applied LLM/ML in production workflows You also: Treat testing, security,
React · mentioned
ise in at least two of: Back-end services in Go Modern front-end engineering [React/Svelte/TypeScript] Data engineering and analytics Data visualisation Applied LLM/ML in production workflows You also: Treat testi
Kubernetes · desirable
first spec to production Nice to have: Python, Go, React, Svelte, PostgreSQL, Kubernetes, a history of building tools for HR, finance or operations. The ideal candidate will use their passion for experimentation and an
PostgreSQL · desirable
ur work from first spec to production Nice to have: Python, Go, React, Svelte, PostgreSQL, Kubernetes, a history of building tools for HR, finance or operations. The ideal candidate will use their passion for experiment
Data science · mentioned
s 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 industr
Data engineering · mentioned
ack-end services in Go Modern front-end engineering [React/Svelte/TypeScript] Data engineering and analytics Data visualisation Applied LLM/ML in production workflows You also: Treat testing, security, performance
Accessibility · mentioned
ML in production workflows You also: Treat testing, security, performance and accessibility as part of the job Handle sensitive people data with care Write clearly and work well in a distributed team Own your work f
Data visualisation · mentioned
ront-end engineering [React/Svelte/TypeScript] Data engineering and analytics Data visualisation Applied LLM/ML in production workflows You also: Treat testing, security, performance and accessibility as part of the