Engineering Manager - MLOps & Analytics

The Role

As an Engineering Manager at Canonical, you will lead a distributed team, balancing technical leadership with people management. You will drive the development of MLOps and analytics solutions, ensuring your team remains productive, unblocked, and aligned with strategic goals.

Responsibilities

• Team Leadership: Manage a distributed team, conduct 1-on-1s, and measure team health.
• Technical Oversight: Review code, provide architectural leadership, and maintain high standards for documentation and performance.
• Strategy: Collaborate with product managers and architects to define and execute the engineering roadmap.
• Mentorship: Foster the professional growth of direct reports and facilitate their career development.
• Representation: Act as a brand ambassador at conferences and within the open-source community.
• Travel: Participate in internal and external events globally (2–4 weeks per year).

Requirements

• Proven track record in professional software delivery.
• Professional Python development experience, ideally with open-source contributions.
• Deep understanding of the machine learning landscape and MLOps solution design.
• Exceptional academic background (high school and university).
• Willingness to travel internationally up to 4 times per year.

Preferred Skills

• Experience with ML libraries (Kubeflow, MLFlow, Feast).
• Proficiency in container technologies (Docker, LXD, Kubernetes).
• Experience with public cloud platforms (AWS, Azure, GCP).
• Background in Linux and open-source software development.

Benefits

• Distributed work environment (remote since 2004).
• Annual compensation reviews and performance-driven bonuses.
• USD 2,000 annual personal learning and development budget.
• Comprehensive leave policies (holiday, maternity, paternity).
• Employee Assistance Programme and travel perks (Priority Pass).