Distributed Systems Software Engineer, Python / Go

Canonical; A distancia; MXN 1,277,000 - 1,825,000; Jornada completa

Descripción de la vacante

A leading software solutions provider is seeking a software engineer to ensure the quality of its cloud solutions. The role involves developing automated testing processes, collaborating with distributed teams, and enhancing CI pipelines for cloud-native products. The ideal candidate will have a strong background in Python or Go, modern testing strategies, and knowledge of cloud technologies. This position offers a flexible remote work environment, personal development budget, and opportunities for international collaboration.

Servicios

Distributed work environment

Personal learning budget of USD 2,000 per year

Annual compensation review

Maternity and paternity leave

Employee Assistance Programme

Travel opportunities for team events

Formación

• Solid background in modern test processes and strategies.
• Ability to develop and ship production grade modern web applications.
• Capacity for complex abstract thinking.

Responsabilidades

• Create automated testing approaches for cloud orchestration tools.
• Enhance continuous integration pipelines for Canonical's cloud products.
• Collaborate with a globally distributed team.

Conocimientos

Python development

Go development

Object-oriented programming

Continuous integration tools

Networking technologies

Linux system architecture

Herramientas

Jenkins

CircleCI

GitHub CI

OpenStack

Kubernetes

Terraform

AWS

Descripción del empleo

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 like

• Create 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 company
• Enhance continuous integration pipelines for deploying and testing Canonical's cloud native products such as Kubeflow
• Deploy, manage, and debug highly distributed systems
• Monitor and report on automated testing efforts
• Collaborate daily with a globally distributed team

What we are looking for in you

• Solid background in modern test processes and strategies
• Experience with Python or Go development
• Strong object oriented development skills
• Ability to develop and ship production grade modern web applications
• Working knowledge of continuous integration tools such as Jenkins, CircleCI, GitHub CI
• Knowledge of networking technologies and fundamentals
• Solid understanding of Linux system architecture
• A capacity for complex abstract thinking
• Capability for 2-4 weeks of international travel per year

Additional skills that you might also bring

• Collecting and analyzing large multidimensional datasets
• Operating data platforms: key-value stores, relational or document databases, event buses
• Work with cloud technologies such as OpenStack, Kubernetes, Terraform and AWS
• Developing AI/ML pipelines

What we offer you

• Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004!
• 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 from your team and others
• Priority Pass for travel and travel upgrades for long haul company events

Canonical 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.