Engineering Manager - MLOps & Analytics

Canonical; Culiacán; A distancia; MXN 1,477,000 - 2,217,000; Jornada completa

Descripción de la vacante

A leading technology firm is seeking an experienced Engineering Manager to oversee a distributed team of engineers. You'll be pivotal in fostering a collaborative environment, ensuring the success of MLOps solutions, and improving software quality. The ideal candidate has strong Python development skills, a background in machine learning, and experience in open-source contexts. This position is remote, allowing global collaboration and occasional travels to meet the team.

Servicios

Personal learning and development budget of USD 2,000 per year

Annual compensation review

Employee Assistance Programme

Maternity and paternity leave

Formación

• Proven track record in software delivery.
• Experience working on a distributed team in an open source project.

Responsabilidades

• Manage a distributed team of engineers.
• Conduct one-on-one meetings with team members.
• Review code produced by other engineers.

Conocimientos

Professional Python development experience

Experience designing and implementing MLOps solutions

Proven understanding of the machine learning space

Hands-on experience with machine learning libraries

Educación

Exceptional academic track record

Herramientas

Docker

Kubernetes

AWS

Azure

Google Cloud

Descripción del empleo

Overview

The role of an Engineering Manager at Canonical combines technical leadership with people management. You will run an effective team, develop colleagues, review code as a leader, and keep the team focused, productive, and unblocked to improve the product.

You are expected to help engineers grow, do meaningful work, achieve high quality outcomes, and collaborate well with colleagues and the community. You will influence culture, facilitate technical delivery, and regularly reflect with your team on strategy and execution. You will collaborate closely with other Engineering Managers, product managers, and architects to produce an engineering roadmap with ambitious yet achievable goals. You should be fluent in the programming language, architecture, and components used by your team, including open-source machine learning tools like Kubeflow, MLFlow, and Feast. Code reviews and architectural leadership are part of the role, with a commitment to healthy engineering practices, documentation, quality and performance optimization, fair and clear management, and a high-performing team.

Location: This is a Globally remote role.

What your day will look like

• Manage a distributed team of engineers and its MLOps/Analytics portfolio
• Organize and lead the team's processes to achieve its objectives
• Conduct one-on-one meetings with team members
• Identify and measure team health indicators
• Interact with a vibrant community
• Review code produced by other engineers
• Attend conferences to represent Canonical and its MLOps solutions
• Mentor and grow direct reports, helping them achieve their professional goals
• Work from home with global travel for 2 to 4 weeks per year for internal and external events

What we are looking for in you

• A proven track record of professional experience in software delivery
• Professional Python development experience, preferably with a track record in open source
• A proven understanding of the machine learning space, its challenges and opportunities to improve
• Experience designing and implementing MLOps solutions
• An exceptional academic track record from high school and preferably university
• Willingness to travel up to 4 times a year for internal events

Additional skills that you might also bring

The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

• Hands-on experience with machine learning libraries or tools
• Proven track record of building highly automated machine learning solutions for the cloud
• Experience with building machine learning models
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Experience in the Linux and open-source software world
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on a distributed team on an open source project — including community contributions
• Demonstrated track record of Open Source contributions

What we offer you

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, reflecting our values and ideals, and we balance programs to meet local needs globally.

• Distributed work environment with twice-yearly team sprints in person — we have been remote 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

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world daily. We recruit globally and set a high standard for joining the company. We expect excellence and strive to be the best at what we do.

Canonical has been remote-first since its inception in 2004. Work at Canonical challenges you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds creates a better work environment and better products. Whatever your identity, we will give your application fair consideration.