🔧 Lead Python Platform Engineer – Notebooks Platform | Hybrid (Toronto)

📍 2 Days Onsite | Downtown Toronto

💼 Type: Full-Time

Our client, a leading financial institution, is undertaking a major platform evolution as part of a strategic global expansion. With the acquisition of new international markets, the data and engineering teams are scaling fast — and they need a Lead Python Engineer to take charge of their core Notebooks platform.

This is not your typical Python dev role. You’ll lead engineering efforts on a powerful, open-source-based platform (Jupyter), deeply embedded in business workflows and data pipelines across the org. Think: platform ownership, product thinking, and building tools that hundreds of data practitioners rely on every day.

🚀 What You’ll Own

• Platform Leadership – Maintain and improve a customized Jupyter-based platform, ensuring performance, scalability, and reliability.
• Feature Design & Development – Build out core libraries, tools, and user-facing features in Python.
• Power User Support – Guide users on platform best practices, review designs, and deliver quick-turn POCs.
• Infra Oversight – Collaborate on deployments using Docker/Kubernetes (small portion of role).
• Stakeholder Collaboration – Serve as the point of contact between business, engineering, and user teams.

🧠 What You Bring

• Senior-level experience with Python, especially in platform/tooling or infrastructure contexts.
• Hands-on knowledge of Jupyter, Databricks, Anaconda, or similar notebook platforms.
• Exposure to cloud-native tooling (Docker, Kubernetes) — even if it's not your main focus.
• Experience mentoring junior developers and collaborating across business/tech teams.
• A product-owner mindset — you're just as excited about how users experience a platform as you are about building it.

💡 Why You’ll Love This Role

• Your work powers real-world decision-making across the org — not just code in a silo.
• You’ll lead the overhaul of a mission-critical, high-visibility platform.
• The team is full of engineers, scientists, and creative minds who love solving complex problems.

This is a hybrid role, with 2 days per week onsite in downtown Toronto. If you're passionate about Python, platform architecture, and working at the intersection of data and product — we’d love to connect.

The target hiring compensation range for this role is 120k/year-140k/year. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.