Lead Python Platform Engineer

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.