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Site reliability engineer

Curitiba
Canonical
Anunciada dia 16 junho
Descrição

Join to apply for the Site Reliability Engineer role at Canonical1 day ago Be among the first 25 applicantsJoin to apply for the Site Reliability Engineer role at CanonicalGet AI-powered advice on this job and more exclusive features.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 Site Reliability EngineerNext-gen operations at scale, with pure Python infra-as-code, from bare metal to containers and applications. Our goal is to perfect enterprise infrastructure devops.We run hundreds of private cloud, Kubernetes, and application clusters for customers across physical and public cloud estate, and we are raising the bar on what's possible with automation by embracing a universal operator pattern and model-driven operations.To succeed in this role you need to believe in automation as a pure software engineering problem, not a hack-it-till-it-works-for-me problem. You need to be interested in the scientific approach to operations at scale, driven by metrics and code, and you need to be able to learn the entire stack, from bare metal networking and kernel up to serverless and open source applications.Location: Globally remote roleThe role entailsOur cloud operations engineers bring Python software-engineering skills and rigour to the operations domain. We practise devsecops from bare metal to application. We architect and run OpenStack, Kubernetes and software defined storage, and we enable devsecops for applications running on that infrastructure too.To become a member of this team, you need to be a software engineer fluent in Python, you need a genuine interest in the full open source infrastructure stack from metal to containers, and you need the ability to work in a high pressure operations environment with mission-critical services for global brand name customers.As a member of the team you will gain experience in a broad range of cloud technologies. We evolve our offerings as the state of the art improves, so you get to stay current with the latest capabilities in open source infrastructure. We drive upgrades to keep our customers on the latest, best solutions.What we are looking for in youDegree in Software Engineering or Computer ScienceExperience with Linux and familiarity with Linux networking and storagePython software development expertiseOperational experienceExcellent interpersonal skills, curiosity, flexibility, and accountabilityAbility to travel internationally twice a year, for company events up to two weeks longNice-to-have skillsExperience with OpenStack or Kubernetes deployment or operationsFamiliarity with public or private cloud managementWhat we offer colleaguesWe 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.Distributed 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 leaveEmployee Assistance ProgrammeOpportunity 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 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 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.Seniority levelSeniority levelEntry levelEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyIndustriesSoftware DevelopmentReferrals increase your chances of interviewing at Canonical by 2xSign in to set job alerts for “Site Reliability Engineer” roles.Senior Site Reliability / Gitops EngineerJunior Software Development Engineer in Test / R+D - Remote Work | REF#271066Software Engineer (Python/Linux/Packaging)Python and Kubernetes Software Engineer - Data, AI/ML & AnalyticsStaff Software Engineer, Core Enablement (Remote)Mid-Level DevOps Engineer - Remote - Latin AmericaSoftware Engineer III, Core Enablement (Remote)Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & AnalyticsGraduate Software Engineer, Open Source and Linux, Canonical UbuntuSoftware Engineer - Solutions EngineeringPython Software Engineer - Ubuntu Hardware Certification TeamWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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