Remote Testing Software Engineer, Python / Go Job at Canonical
Anywhere
4 months agoJob Overview
Canonical is hiring a remote candidate for Testing Software Engineer, Python / Go. This is a full time position. Work location: Anywhere.
The role typically involves technologies such as Python, DevOps, Go.
Key Responsibilities
- Creating automated testing approaches and infrastructure for validating reliability, performance, and resilience of cloud orchestration tools and applications
- Enabling engineering teams across Canonical to develop software with confidence by making distributed system testing tooling available across the company
- Enhancing continuous integration pipelines for deploying and testing Canonical’s cloud native products such as Kubeflow
- Deploying, managing, and debugging highly distributed systems on clouds and bare metal
- Monitoring and reporting on automated testing efforts
- Collaborating daily with a globally distributed team
Required Skills
Primary Skills
- Python
- DevOps
Secondary Skills
- Go
Skills required for this role include Python, DevOps, Go, and related tools for day-to-day development.
Job Details
- Employment Type: Full Time
- Location: Anywhere
- Salary: $60000 – $80000 USD
Tech Stack
Python, DevOps, Go
About the Company
Canonical is a technology company known primarily for its development and support of Ubuntu, one of the Linux-based operating systems, and related open-source projects. It continues to innovate in areas such as cloud computing, containers, and IoT, while maintaining its commitment to the principles of open-source software.
Role details
We are hiring a Software Engineer for Distributed Systems Testing with a passion for building and validating resilient distributed systems. You drive the success of those leveraging Canonical’s Ubuntu and Juju to build multi-cloud deployable 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 testing, test automation, reporting and data analytics.
The Distributed Systems testing team at Canonical is responsible for the high quality of Canonical’s Cloud solutions based on for example Juju, Terraform, OpenStack, or Kubernetes. Systems are tested and deployed under highly diverse conditions, from bare metal in customer data centers to public clouds such as 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. You will help test our products on new clouds and advance our 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.
The role entails
What we are looking for in you
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Solid background in modern test processes and strategies
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Experience with Python or Go development
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Strong object oriented development skills
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Working knowledge of continuous integration tools such as Jenkins, CircleCI, GitHub Actions
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Knowledge of networking technologies and fundamentals
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Solid understanding of the Linux system architecture
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Complex abstract thinking
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2-4 weeks of international travel travel per year
Nice-to-have skills
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Ability to develop and ship modern production grade web applications
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Ability to operate data platforms: key-value stores, relational or document databases, event buses
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Data collection and analytics skills for large multidimensional datasets
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Experience with AI/ML pipelines
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Experience with cloud technologies such as OpenStack, Kubernetes, Terraform and AWS
What we offer colleagues
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 recognize 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.
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Distributed work environment with twice-yearly team sprints in person
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Personal learning and development budget of USD 2,000 per year
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Annual compensation review
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Recognition rewards
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Annual holiday leave
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Maternity and paternity leave
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Team Member Assistance Program & Wellness Platform
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Opportunity to travel to new locations to meet colleagues
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Priority Pass and travel upgrades for long-haul company events