We're seeking someone to join our Equity Risk Systems (ERS) DevOps team as a DevOps Developer to drive automation, developer productivity, platform modernization, and AI-enabled engineering practices to improve engineering hygiene, modernize delivery practices, and leverage Generative AI to streamline software development and operational workflows. 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 Lead Software Engineering position at Director 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 Design, develop, and maintain automation solutions that improve software delivery, engineering productivity, and operational efficiency with Python. Build and enhance CI/CD pipelines, including build automation, testing, release orchestration, and deployment workflows. Drive software modernization initiatives by reducing technical debt, standardizing engineering practices, and improving development processes.

Develop and maintain observability, telemetry, and engineering metrics solutions to support continuous improvement and operational excellence. Build and integrate GenAI-enabled applications, automation tools, and developer workflows utilizing LLMs, MCP tools, and agentic architectures. Collaborate with globally distributed Agile teams to deliver scalable, maintainable, and high-quality technology solutions. 5+ years of professional software development experience, including at least 3+ years developing automation, tooling, or platform solutions using Python.



~ Experience designing and implementing automation solutions that improve software delivery, developer productivity, operational efficiency, or engineering governance. ~ Hands-on experience building and maintaining CI/CD pipelines, including build automation, testing, release orchestration, and deployment workflows. ~ Hands-on experience with containerization and up-to-date software delivery practices, including Docker, Kubernetes, OpenShift, or similar platforms. ~ Demonstrated experience leveraging Generative AI tools such as GitHub, Copilot, agent-based workflows, prompt engineering, or AI-assisted software development to improve engineering outcomes. ~ Experience working with relational and/or NoSQL databases, including PostgreSQL and MongoDB. ~ Excellent verbal and written communication with the ability to solve complex technical problems and deliver scalable, maintainable solutions.

We offer a hybrid work environment, combining remote work and attendance in the office. Knowledge of French and English is required.

At Morgan

Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. Our values – putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back – aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences.

Morgan

Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

📌 DevOps Engineer (Remote) / Ingénieur(e) DevOps (Télétravail)
🏢 Morgan Stanley
📍 Montreal