Engineering Manager - MLOps & Analytics

Canonical; Culiacán; A distancia; USD 80,000 - 120,000; Jornada completa

Descripción de la vacante

Join a pioneering tech firm as an Engineering Manager, where your leadership will drive a talented team focused on developing cutting-edge open-source machine learning tools. In this globally remote role, you'll foster a culture of collaboration and innovation while overseeing the delivery of high-quality software solutions. With a commitment to professional growth, you'll mentor engineers, facilitate technical delivery, and engage with a vibrant community. Enjoy an annual compensation review, generous learning budgets, and a supportive work environment that values diversity and excellence. This is an opportunity to shape the future of technology while working from anywhere in the world.

Servicios

Personal learning budget

Annual compensation review

Maternity and paternity leave

Employee Assistance Programme

Priority Pass for travel upgrades

Formación

• Proven track record in software delivery and team management.
• Experience with open-source contributions and MLOps solutions.

Responsabilidades

• Manage a distributed team of engineers and their MLOps portfolio.
• Conduct one-on-one meetings and mentor team members.

Conocimientos

Python

MLOps

Machine Learning

Open Source

Team Management

Educación

High School Diploma

Bachelor's Degree

Herramientas

Docker

Kubernetes

AWS

Azure

Google Cloud

Descripción del empleo

The role of an Engineering Manager at Canonical

As an Engineering Manager at Canonical, you must be technically strong, but your main responsibility is to run an effective team and develop the colleagues you manage. You will develop and review code as a leader, while at the same time staying aware that the best way to improve the product is to ensure that the whole team is focused, productive, and unblocked.

You are expected to help them grow as engineers, do meaningful work, do it outstandingly well, find professional and personal satisfaction, and work well with colleagues and the community. You will also be expected to be a positive influence on 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, producing an engineering roadmap with ambitious and achievable goals.

We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses, in this case popular open-source machine learning tools like Kubeflow, MLFlow, and Feast.

Code reviews and architectural leadership are part of the job. The commitment to healthy engineering practices, documentation, quality, and performance optimization is as important as the requirement for fair and clear management, and the obligation to ensure 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 help it 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 your 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 of 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 both 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 or 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 ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. 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 - we've been working remotely 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 that is 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 high standards for new hires. We expect excellence to succeed.

Canonical has been a remote-first company since 2004. Working at Canonical is a step into the future, challenging you to think differently, work smarter, learn new skills, and raise your game. It offers a unique insight 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 background create a better work environment and better products. We consider all applications fairly regardless of your identity.