Senior Software Engineer - Digital Workplace

Senior Software Engineer – Digital WorkplaceCanonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is 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.What you will doDesign and deliver web-based systems and SAASProvide new insights into the Canonical workplace experienceEnable new processes and improve existing workflowsCollaborate proactively with a distributed teamWrite high-quality code to create new featuresDebug issues and produce high-quality code to fix themConsistently provide high-quality code reviews to other engineersDiscuss ideas and collaborate on finding good solutionsEstimate work, set goals and meet themWrite project specifications, epics and understand the risksUnderstand completion criteria and push work to completionCoaching, mentoring and providing feedback to more junior members of the team, while always developing yourselfConnect to many data sources and provide insightful visualisationsDatabase design and architecture for connected systemsDeveloping new and improved working practices for the companyProviding tooling to support optimised processesLove what you do.Who you areTo be successful in this team you must be an expert in two or more of the following:Backend web service programming in Python and Node.JSSolid understanding of web development technologies such as HTML, CSS, and JavaScriptData analytics and statistical analysisNatural language processing, sentiment analysis, machine learningData visualisationThe 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 Senior Web 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 colleaguesDistributed work environment with twice-yearly team sprints in personPersonal learning and development budget of USD 2,000 per yearAnnual compensation reviewRecognition rewardsAnnual holiday leaveMaternity and paternity leaveTeam Member Assistance Program & Wellness PlatformOpportunity to travel to new locations to meet colleaguesPriority Pass and travel upgrades for long-haul company eventsAbout CanonicalCanonical 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 employerWe 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.We\’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr