Role Description Use your deep C++ skills on Windows and MacOS to build an amazing open source developer experience with Multipass, the workstation mini-cloud at your fingertips which provides Ubuntu and appliance VMs on demand for build, test and prototyping. The Multipass team is hiring a Software Engineer to join our distributed team. We greatly value quality in our code, and great user experience. Multipass is published for macOS, Windows, and also Linux. Think of it as a workstation mini-cloud. At its simplest you can simply say multipass launch and you will get a new VM on your workstation. You can feed that VM data, just as you would on a public cloud like AWS, Azure or GCP. The goal is not to be a full cloud of course. The goal is to give developers a local cloud on their workstation, which they can use to run builds in the background, or to try cloud appliances, or to test their own cloud deployments and cloud-init scripts, free of charge. People sometimes use it as a build farm on a shared server, for example. As a Software Engineer you are expected to play a leadership role designing, mentoring, reviewing and of course coding. Location: This is a remote position available in the EMEA region only. Qualifications - Cross-platform development experience on macOS and/or Windows - Expertise in modern C++ development - Experience with software testing and test-driven development - Extremely high personal standards for code quality, testing and design - Knowledge of hypervisor technologies such as Hyper-V, VirtualBox, KVM, and QEMU - Open source experience and involvement - Knowledge of CI systems a plus - Capacity to learn quickly about new systems and techniques - Excellent communication skills in English - both verbal and written - Bachelor’s or equivalent in Computer Science, STEM or similar degree Requirements - Ensure Multipass is easy and intuitive to use - Architect new features and design the user experience - Write high-quality code to create new features and fix bugs - Review code and architecture as part of Canonical’s engineering process - Collaborate proactively with a distributed team - Debug, track down and fix issues encountered by our users - Foster the open source community and support customers when needed - Travel internationally for up to two weeks, twice a year, for company events Benefits - 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 - Employee Assistance Programme - Opportunity to travel to new locations to meet colleagues - Priority Pass, and travel upgrades for long haul company events Company Description 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 on a daily basis. 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. Canonical has been a remote-first company 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.

Senior Cloud Engineer ST6 (Seal Team Six) is an elite team of battle-hardened software operators dedicated to building enduringly great software companies. Our focus is on professionalizing and scaling software businesses from $100 million to $500 million. We partner with top-tier private equity software firms such as TA, Hg, Insight Partners, and Genstar to acquire and build one platform company per year. Our companies are not the largest or flashiest, but they are among the best-run software businesses, creating value for customers and shareholders at an accelerated pace. To date, our team has built six platform companies, each culminating in multiple liquidity transactions with multi-billion-dollar valuations. The Senior Cloud Engineer will be instrumental in maintaining and enhancing the cloud infrastructure. This role focuses on optimizing cloud operations to drive cost efficiency, ensure high performance, and maintain scalability and reliability of the company's services. The position will work closely with the development and operations teams to automate processes, manage cloud resources, and ensure strict compliance with security standards. Key Responsibilities - Maintain 99.9% availability for customer-facing hosted solutions, ensuring high reliability. - Reduce cloud operating costs consistently by utilizing automation and innovative tools. - Ensure scalability of systems without compromising on performance. - Achieve and maintain compliance with key security standards, such as ISO 27001. - Maintain a minimum of 90% CSAT rating with a 10% response rate for all cloud service-related cases. Key Qualities - Involves a meticulous approach to work, prioritizing accuracy and thoroughness to ensure high-quality outcomes - Encapsulates taking full responsibility for ones actions and their outcomes, emphasizing accountability and learning from experiences Skills - Experience in risk assessment - Experience in disaster recovery - Experience in cloud / saas

• Own our data ingestion layer end-to-end, including completing our migration to open-source ingestion tooling (dlt) and maintaining reliability as the stack evolves • Manage dbt models, tests, documentation, and the semantic layer - the definitions that determine what every metric means across the business • Own Dagster orchestration: scheduling, retries, alerting, and failure handling across all pipeline runs • Keep Lightdash metadata, dimension/measure definitions, and access controls accurate and current • Accelerate data refresh cycles to support near-real-time operational use across the business • Build monitoring, failure alerting, and anomaly detection into the stack so issues surface proactively • Chase data through systems when things go wrong: trace why records drop or transform unexpectedly between source and dashboard, and resolve the root cause rather than the symptom • Establish and document data quality standards and lineage practices across the warehouse • Partner with our Technology and Engineering Lead on platform infrastructure, system integrations, and technical initiatives where data is a core component • Build and maintain reverse ETL pipelines to push warehouse data back into operational tools • Support real-time event pipeline development as new data sources and product surfaces come online • Contribute to A/B testing infrastructure and the systems that support consistent metric definitions across the org • Own separation of dev and production environments: deployment pipelines, change management, access controls, and release practices • Run a PII audit across the stack and implement data warehouse governance standards • Maintain infrastructure documentation and ensure the platform is operable beyond any single person • Continuously evaluate our platform stack to ensure we're using the right tools - favoring open-source, cost-effective, and maintainable solutions

• Design and improve the platform systems that support model training, evaluation, and production serving. • Build infrastructure and tooling that make ML workloads more reliable, scalable, and cost-efficient. • Develop internal tools and workflows that are easy to operate both by humans and by agents. • Work on the architecture behind how models are deployed, served, and operated across research and product environments. • Improve how we schedule, monitor, and debug workloads running on GPUs and cloud infrastructure. • Develop internal tools and abstractions and agentic systems that reduce operational overhead for researchers and engineers. • Drive improvements across observability, automation, reliability, and developer experience. • Collaborate closely with researchers and product engineers to understand pain points and turn them into robust platform capabilities. • Contribute to technical direction and make pragmatic architectural tradeoffs as the platform grows.