Canonical: Distributed Systems Testing Software Engineer, Python / Go — Home Based - Americas; Home based - EMEA

About Canonical

Canonical develops open-source software and operating systems for enterprise and technology users. Its Ubuntu platform is used in cloud computing, data science, artificial intelligence, engineering and connected-device environments. The employer describes a distributed working model with periodic in-person team meetings. Its vacancies therefore span both software delivery and the business functions that support it. Applicants should check the location, time-zone and travel conditions attached to the individual role rather than assume every position is available from any country.

The position and its setting

Canonical lists Distributed Systems Testing Software Engineer, Python / Go in Home Based - Americas; Home based - EMEA, under reference 2969042. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Cloud Engineering
• Employer listing date: 18 March 2021

Subjects named in the job description

The posting mentions the following work areas. These references are not a separate list of compulsory certifications.

• Python
• Kubernetes
• AWS
• AI/ML
• Azure
• Linux
• Terraform
• data analysis
• AI

Essential requirements and candidate background

• Background in modern test processes and strategies
• Experience: Python or Go development
• Object oriented development skills
• Knowledge: continuous integration tools such as Jenkins, CircleCI, GitHub Actions
• Knowledge: networking technologies and fundamentals
• Understanding: the Linux system architecture
• Complex abstract thinking
• 2-4 weeks of international travel travel per year

Preferred experience and additional strengths

• Develop and ship modern production grade web applications
• Operate data platforms: key-value stores, relational or document databases, event buses
• Data collection and analytics skills for large multidimensional datasets
• Experience: AI/ML pipelines
• Experience: cloud technologies such as OpenStack, Kubernetes, Terraform and AWS

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Advertised location: Home Based - Americas; Home based - EMEA

Benefits mentioned by the employer

• 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 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 person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Distributed Systems Testing Software Engineer, Python / Go vacancy is not an offer for reference 2969042; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Canonical

Applications follow the official employer page linked below.

Open the official Canonical posting below and match the title and reference 2969042.

Compare your qualifications and experience with the essential conditions for the Home Based - Americas; Home based - EMEA position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• Kubernetes
• AWS
• AI/ML
• Azure
• Linux
• Terraform
• data analysis
• AI