Engineering Manager

Role¿Interesado en saber más sobre este trabajo? Desplácese hacia abajo y descubra qué habilidades, experiencia y cualificaciones académicas se necesitan.Engineering Manager - MLOps & Analyticsat Canonical – RemoteLocation: This is a Globally remote role.What your day will look likeManage a distributed team of engineers and its MLOps/Analytics portfolioOrganize and lead the team's processes in order to help it achieve its objectivesConduct one-on-one meetings with team membersIdentify and measure team health indicatorsInteract with a vibrant communityReview code produced by other engineersAttend conferences to represent Canonical and its MLOps solutionsMentor and grow your direct reports, helping them achieve their professional goalsWork from home with global travel for 2 to 4 weeks per year for internal and external eventsResponsibilitiesBe technically strong while focusing on running an effective team and developing colleaguesDevelop and review code as a leader, while ensuring the whole team is focused, productive and unblockedHelp engineers grow, do meaningful work, and find professional and personal satisfactionFoster a positive culture, facilitate technical delivery, and reflect on strategy and execution with the teamCollaborate with other Engineering Managers, product managers, and architects to produce an engineering roadmap with ambitious and achievable goalsBe fluent in the programming language, architecture, and components used by the team (e.g., Kubeflow, MLFlow, Feast)Provide code reviews and architectural leadership; uphold healthy engineering practices, documentation, quality and performance optimization; ensure fair and clear management of a high-performing teamQualificationsA proven track record of professional software deliveryProfessional Python development experience, preferably with a track record in open sourceStrong understanding of the machine learning space, its challenges and opportunities for improvementExperience designing and implementing MLOps solutionsExceptional academic track record from high school and preferably universityWillingness to travel up to 4 times a year for internal eventsAdditional skillsHands-on experience with machine learning libraries or toolsProven track record of building highly automated machine learning solutions for the cloudExperience with building machine learning modelsExperience with container technologies (Docker, LXD, Kubernetes, etc.)Experience with public clouds (AWS, Azure, Google Cloud)Experience in Linux and open-source softwareWorking knowledge of cloud computingPassionate about software quality and testingExperience working on a distributed open source project or community contributionsDemonstrated track record of Open Source contributionsWhat we offer youDistributed work environment with twice-yearly team sprints in person – remote since 2004Personal learning and development budget of USD 2,000 per yearAnnual compensation reviewPerformance-driven bonus opportunitiesAnnual holiday leaveMaternity and paternity leaveEmployee Assistance ProgrammeOpportunity to travel to meet colleagues at various locationsPriority 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, 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. Work at Canonical is a step into the future, challenging you to think differently, work smarter, and learn new skills. Canonical provides a unique window into the world of 21st-century digital business.Equal opportunityCanonical 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. xsgfvud Whatever your identity, we will give your application fair consideration.#J-18808-Ljbffr