Canonical: Engineering Manager - Distributed Systems, 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 Engineering Manager - Distributed Systems, Python / Go in Home Based - Americas; Home based - EMEA, under reference 8179506. 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: 1 October 2026

Responsibilities and work described

• Lead, coach, and develop a high-performing team of software and quality engineers, ranging from graduate to senior level
• Set clear expectations, strengthen engineering practices, and ensure timely delivery against agreed goals
• Partner with senior engineers to shape technical strategy, architecture, roadmap, and engineering standards
• Technical guidance: the development of automated testing infrastructure for the reliability, interoperability, and resilience of distributed systems
• Improvement: CI pipelines, testing tools, and reporting used to validate Canonical's products and solutions across bare-metal, private and public cloud environments
• Enable engineering teams across Canonical to adopt effective distributed-systems testing practices and tooling
• Contribution: technical leadership through design and code reviews, debugging, and hands-on engineering where appropriate
• Represent the team with stakeholders and collaborate across Canonical on quality engineering, infrastructure, and developer experience

Essential requirements and candidate background

• An academic track record from both high school and university
• Experience: leading, coaching, and mentoring software engineers
• Professional software engineering experience with Python or Go
• Expertise in distributed systems, cloud infrastructure, quality engineering, or a closely related domain
• Knowledge: modern software testing processes, strategies, and automation
• Technical judgement and the ability to engage meaningfully in code reviews, architecture discussions, and software design
• Experience working in an agile development environment with the ability to organize a team to deliver high-quality results
• Professional written and spoken English with communication and presentation skills
• Great interpersonal skills, curiosity, flexibility, and accountability, demonstrating passion, thoughtfulness, and self-motivation
• Travel twice a year, for company events up to two weeks each

Preferred experience and additional strengths

• Experience: Linux (Debian or Ubuntu preferred)
• Experience: any of the following:
• Cloud technologies such as Kubernetes, OpenStack, Juju, Terraform, AWS, Google Cloud, or Azure
• Designing testing strategies for distributed or cloud-native systems
• Building or operating large-scale CI/CD and test infrastructure
• Applying AI or machine learning to test analysis, failure classification, or engineering workflows
• Deploying, operating, or debugging distributed systems
• Leading globally distributed teams

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.

• Location: This is a globally remote role, typically leading a team concentrated within a major time zone such as EMEA or the Americas
• 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
• We provide all team members with additional benefits that reflect our values and ideals
• We balance our programmes 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
• Employee Assistance Programme and wellness support

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Engineering Manager - Distributed Systems, Python / Go vacancy is not an offer for reference 8179506; 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 8179506.

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
• CI/CD
• AWS
• GCP
• Azure
• AI/ML
• Google Cloud
• Linux
• Terraform