Canonical: Engineering Manager - Data Platform — Home based - Worldwide
Canonical lists a Engineering Manager - Data Platform opening in Home based - Worldwide. The job description covers Python, SQL, Kubernetes, AI, sales, stakeholder management.
Recruitment overview
| Organisation | Canonical |
|---|---|
| Post / role | Engineering Manager - Data Platform |
| Department | Charm Engineering |
| Employment type | Not specified |
| Notification / job ID | 5667860 |
| Job location | Home based - Worldwide |
| Work arrangement | Not specified |
| Educational qualification | See the employer’s role-specific qualification criteria |
| Experience required | No numeric experience requirement extracted; read the employer notice |
| Salary / stipend | See employer notice for pay details |
| Last date to apply | See official notice |
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 - Data Platform in Home based - Worldwide, under reference 5667860. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.
- Department: Charm Engineering
- Employer listing date: 2 February 2024
Responsibilities and work described
- Leadership: a team building scalable data solutions for Kubernetes and cloud machines
- Hire, coach, mentor, provide feedback, and lead your team by example
- Demonstrate sound engineering skill by directly contributing code when needed
- Effectively set and manage expectations with other engineering teams, senior management, and external stakeholders
- Advocate modern, agile software development practices
- Development: and evangelize great engineering and organizational practices
- Quality / delivery: that your team delivers products that users love by maintaining a culture of quality and engineering excellence
- Grow a healthy, collaborative engineering culture aligned with the company’s values
- Be an active part of the leadership team and collaborate with other leaders in the organization
- Work: from home with global travel twice yearly, for internal events of one or two weeks duration
Essential requirements and candidate background
- A software engineering background, preferably with Python and Golang experience
- Experience running in production and at scale, preferably Big Data or MySQL
- Judgement about people - their motivations, abilities, developmental needs, and prospects for success
- Ability to build high-quality, open-source software
- To drive good engineering practices around performance and quality
- An open-minded attitude to new technologies and the drive to push the boundaries of what is possible
- The ambition to build products that improve how people operate software and infrastructure everywhere
- Love developing and growing people and have a track record of doing it
- Knowledgeable and passionate about software development
Preferred experience and additional strengths
- Specialist knowledge in one or more of Spark, Superset, MySQL, or similar
- Prior experience working with open source and a will to build products with the community
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 - Worldwide
Benefits mentioned by the employer
- Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills
- In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation
- Our compensation philosophy is to ensure equity right across our global workforce
- In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals
- Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner
- Fully remote working environment - we’ve been working remotely since 2004!
- Personal learning and development budget of 2,000USD per annum
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Parental Leave
- Employee Assistance Programme
Pay and application dates
A verified salary figure is not established in this article. An online estimate for another Engineering Manager - Data Platform vacancy is not an offer for reference 5667860; 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 5667860.
Compare your qualifications and experience with the essential conditions for the Home based - Worldwide 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
- Spark
- Kubernetes
- SQL
- AI
- sales
- stakeholder management
Important links
| Official notification / job description | Open official page |
|---|
Read the complete official notice before applying. Availability and requirements can change.
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