Site Reliability Engineer

hace 4 semanas


WorkFromHome, México Canonical A tiempo completo

3 days ago Be among the first 25 applicants Canonical 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 globally 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 we are hiring We are hiring a Site Reliability Engineer. Our goal is to perfect enterprise infrastructure DevOps practices, raising the bar on what\'s possible with automation by embracing a model-driven approach, whether on-premise or on public clouds. We run hundreds of private cloud, Kubernetes clusters, and applications for customers across both physical and public cloud estates. We identify and address incidents, monitor and observe applications, anticipate potential issues, and enable product refinement to ultimately achieve high-quality standards in our open source portfolio. To succeed in this role, you need to have a strong background in Linux, Python, networking, and knowledge of how clouds work. Your work will encompass the entire stack, from bare-metal networking and kernel up to Kubernetes and open source applications. You can expect to be trained in our core technologies like OpenStack, Kubernetes, security standards, open source products like Kubeflow, Kafka, OpenSearch, databases, and many others. Automation for us is a software engineering problem that we approach with a scientific mindset to bring operations at scale, driven by metrics and code. Location: Globally remote role The role We deploy and run OpenStack, Kubernetes, storage solutions, and open source applications, applying DevOps practices. To become a member of our team, you need to be a software engineer fluent in Python, you need a genuine interest in the full open source infrastructure stack from bare metal to containers, and you need the ability to work in operations 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. What we are looking for in you Degree in software engineering or computer science Python software development experience Operational experience in Linux environments Experience with Kubernetes deployment or operations Excellent interpersonal skills, curiosity, flexibility, and accountability Ability to travel internationally twice a year, for company events up to two weeks long Bonus skills Familiarity with OpenStack deployment or operations Familiarity with public cloud deployment or operations Familiarity with private cloud management What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We adjust compensation every 6 months to ensure we recognize outstanding performance, and in addition to base pay, we offer annual bonuses. 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 Every 6 months compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programs Opportunity to travel to new locations to meet your 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 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 creates a better work environment and better products. Whatever your identity, we will give your application fair consideration. Seniority level Entry level Employment type Full-time Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Canonical by 2x Distributed Systems Testing Software Engineer, Python / Go Senior Site Reliability / Gitops Engineer Software Engineer (Python/Linux/Packaging) Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Software Engineer ID43921 ($2,500 signing bonus) Python Software Engineer - Ubuntu Hardware Certification Team Golang System Software Engineer - Containers / Virtualisation Embedded Linux Senior Software Engineer - Optimisation Distributed Systems Software Engineer, Python / Go Software Engineer in Test (Mobile) ID47193 Linux Software Engineer - Ubuntu for Next-Gen Silicon (multiple roles and seniority levels) Software Engineer (Senior/Lead) ID41548 ($2,500 signing bonus) Open Source Networking Software Engineer - ToR Switch / SmartNIC / DPU 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


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