Python Tech Lead (Hybrid)

Morgan Stanley • Montreal, QC

61d • Hybrid

About The Position

We're seeking someone to join our Equity Risk Systems team as a Senior Python Developer in ESTAR to be responsible for using Python to automate various processes around the QA and DevOps world
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Software Engineering position at Vice-President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
Interested in joining a team that’s eager Ito create, innovate and make an impact on the world? Read on…

Requirements

• 6+ years of experience developing large-scale Python applications and services.
• Familiarity with common Stdlib and common open-source libraries.
• Solid understanding of Linux operating systems.
• Demonstrated ability to comprehend and analyze complex distributed systems, including their interdependencies and deployment processes.
• Solid understanding of Jenkins and pipeline-as-code.
• A passion for streamlining manual tasks through automation and actively supporting DevOps initiatives.
• Solid understanding of data structures and algorithms.
• Knowledge of relational databases and SQL.
• Experience writing unit tests and using patching/mocking frameworks.
• Experience managing, deploying, and troubleshooting large-scale production environments.
• Familiarity with containerization technologies.
• Bachelor’s degree in Computer Science or a related field.
• Knowledge of French and English is required.

Responsibilities

• Leverage a strong background in Python programming.
• Enhance overall developer productivity across our fleet.
• Streamline workflows, reduce manual tasks, and contribute to the efficiency and effectiveness of our Equity Risk development & QA teams.
• Lead the design, development, and testing of high-performance tools and data platforms.
• Perform hands-on coding expertise with strategic leadership to align technology with business objectives.
• Own the full lifecycle of Python applications, services, and data pipelines that power real-time risk analytics—from architecture and clean, well-tested code to production reliability.
• Drive automation and operational excellence by building CI/CD pipelines, containerizing workloads, and implementing infrastructure as code, ensuring scalability, security, and resilience across our systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level