Distributed Systems Software Engineer, Python
1 dia atrás
We are seeking a software engineer with a passion for building and validating resilient distributed systems. At Canonical you can build a career and drive the success of those leveraging Canonical's Ubuntu and Juju to build multi-cloud deployable cloud applications.
We see quality engineering as a first class engineering practice and are looking for people who can bring deep engineering insights and a data driven approach to test automation, reporting and data analytics.
The Distributed Systems testing team at Canonical is responsible for ensuring the high quality of Canonical's Cloud solutions based on Juju, Terraform, OpenStack, Kubernetes when deployed under highly diverse conditions, from bare metal in customer data centers to public clouds like AWS, GCE, Azure.
As a software engineer you will have the opportunity to develop CI pipelines which power Canonical's cloud integration testing and reporting. Upcoming initiatives you will have the opportunity to contribute to include expanding deployment capabilities to new clouds and developing AI/ML pipelines for automatic analysis of test results. A successful candidate is interested in tackling these problems, as well as imagining and leading new initiatives within the team and across Canonical.
Location: this is a Globally remote role
What your day will look likeCreate automated testing approaches and infrastructure for validating reliability, performance, and resilience of cloud orchestration tools and applications Enable engineering teams across Canonical to develop software with confidence by making distributed system testing tooling available across the companyEnhance continuous integration pipelines for deploying and testing Canonical's cloud native products such as KubeflowDeploy, manage, and debug highly distributed systemsMonitor and report on automated testing effortsCollaborate daily with a globally distributed team What we are looking for in you
Solid background in modern test processes and strategiesExperience with Python or Go developmentStrong object oriented development skillsAbility to develop and ship production grade modern web applicationsWorking knowledge of continuous integration tools such as Jenkins, CircleCI, GitHub CIKnowledge of networking technologies and fundamentalsSolid understanding of Linux system architectureA capacity for complex abstract thinkingCapability for 2-4 weeks of international travel travel per yearAdditional skills that you might also bring
Collecting and analyzing large multidimensional datasetsOperating data platforms: key-value stores, relational or document databases, event busesWork with cloud technologies such as OpenStack, Kubernetes, Terraform and AWSDeveloping AI/ML pipelinesWhat we offer you
We 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. 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 - we've been working remotely since 2004Personal 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 colleagues from your team and othersPriority Pass for travel and travel upgrades for long haul company eventsCanonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world's computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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