The role
From Morgan Stanley's own posting.
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
What you'll do in the role:
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.
Implement and support containerized applications and platforms using technologies such as Docker, Kubernetes, OpenShift.
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.
What you'll bring to the role:
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 modern 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.
All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.
Knowledge of French and English is required.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. 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. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
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.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo .
Développeur(euse) DevOps (hybride)Nous sommes à la recherche d’une personne pour se joindre à l’équipe de Equity Risk Systems (ERS) à titre de Développeu(euse) DevOps. Dans ce rôle, vous contribuerez à l’automatisation, à l’amélioration de la productivité des développeurs, à la modernisation des plateformes et à l’adoption de pratiques d’ingénierie appuyées par l’intelligence artificielle afin d’améliorer les pratiques d’ingénierie, de moderniser les méthodes de livraison et de tirer parti de l’IA générative pour simplifier les flux de travail liés au développement logiciel et aux opérations.
Au sein de la division Technologie, nous misons sur l’innovation pour bâtir les connexions et les capacités qui propulsent notre entreprise. Nous permettons ainsi à nos clients et à nos collègues de redéfinir les marchés et de façonner l’avenir de nos collectivités. Il s’agit d’un poste de chef en ingénierie logicielle de niveau Directeur, faisant partie de la famille d’emplois responsable du développement et de la maintenance de solutions logicielles répondant aux besoins de l’entreprise.
Depuis 1935, Morgan Stanley est reconnu comme un chef de file mondial des services financiers, évoluant et innovant constamment afin de mieux servir ses clients et les collectivités dans plus de 40 pays à travers le monde.
Ce que vous ferez dans ce rôle :
Concevoir, développer et maintenir des solutions d’automatisation en Python afin d’améliorer la livraison de logiciels, la productivité des équipes d’ingénierie et l’efficacité opérationnelle.
Concevoir et améliorer des pipelines CI/CD, y compris l’automatisation des compilations, les tests, l’orchestration des mises en production et les processus de déploiement.
Piloter des initiatives de modernisation logicielle en réduisant la dette technique, en normalisant les pratiques d’ingénierie et en améliorant les processus de développement.
Développer et maintenir des solutions d’observabilité, de télémétrie et de métriques d’ingénierie afin de favoriser l’amélioration continue et l’excellence opérationnelle.
Mettre en œuvre et soutenir des applications et des plateformes conteneurisées à l’aide de technologies telles que Docker, Kubernetes et OpenShift.
Concevoir et intégrer des applications alimentées par l’IA générative, des outils d’automatisation et des flux de travail pour développeurs utilisant des grands modèles de langage (LLM), des outils MCP et des architectures agentiques.
Collaborer avec des équipes Agile réparties à l’échelle mondiale afin de livrer des solutions technologiques évolutives, maintenables et de grande qualité.
Ce que vous apporterez au rôle :
Plus de 5 ans d’expérience professionnelle en développement logiciel, dont au moins 3 ans dans le développement de solutions d’automatisation, d’outillage ou de plateformes à l’aide de Python.
Expérience dans la conception et la mise en œuvre de solutions d’automatisation visant à améliorer la livraison logicielle, la productivité