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Morgan Stanley

DevOps Developer (Hybrid)

Montreal, QC, Canada

Job type: Full-time
Experience: 5+ years of professional software development experience, including at least 3+ years developing automation, tooling, or platform solutions using Python.
Posting language: English · French
Posted: Sep 23, 2026

Apply About employer

Applications open in a new tab.

Original job description

English section of this bilingual listing.

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.

Read the full bilingual original

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:

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

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 des développeurs, l’efficacité opérationnelle ou la gouvernance de l’ingénierie.
Expérience pratique dans la conception et la maintenance de pipelines CI/CD, y compris l’automatisation des compilations, les essais, l’orchestration des mises en production et les processus de déploiement.
Expérience pratique des technologies de conteneurisation et des pratiques modernes de livraison logicielle, notamment Docker, Kubernetes, OpenShift ou des plateformes similaires.
Expérience démontrée dans l’utilisation d’outils d’IA générative tels que GitHub, Copilot, les flux de travail basés sur des agents, l’ingénierie de requêtes (« prompt engineering ») ou le développement logiciel assisté par l’IA afin d’améliorer les résultats d’ingénierie.
Expérience de travail avec des bases de données relationnelles et/ou NoSQL, notamment PostgreSQL et MongoDB.
Excellentes compétences en communication orale et écrite, ainsi qu’une capacité démontrée à résoudre des problèmes techniques complexes et à livrer des solutions évolutives et faciles à maintenir.

Tous nos postes sont situés à Montréal, Québec. Nous offrons un environnement de travail hybride combinant le télétravail et la présence au bureau.

La connaissance du français et de l’anglais est requise.

Ce texte a été traduit à l’aide d’outils automatisés. Bien que nous nous efforcions d’en assurer l’exactitude, veuillez consulter la version originale en anglais ou communiquer avec les ressources humaines pour toute clarification.

CE QUE VOUS POUVEZ ATTENDRE DE MORGAN STANLEY:

Chez Morgan Stanley, nous levons, gérons et allouons des capitaux pour nos clients, afin de les aider à atteindre leurs objectifs. Nous le faisons d'une manière qui nous distingue des autres – et cela fait 90 ans que nous procédons ainsi. Nos valeurs – donner la priorité à nos clients, agir de manière intègre, innover grâce à des idées exceptionnelles, s’engager en faveur de la diversité et de l’inclusion, et s’investir dans la société – ne sont pas de simples convictions : elles guident les décisions que nous prenons chaque jour afin d’agir dans l’intérêt de nos clients, de nos communautés et de nos plus de 80 000 collaborateurs répartis dans 1 200 bureaux à travers 42 pays. Chez Morgan Stanley, vous aurez l'occasion de travailler aux côtés des meilleurs et des plus brillants, dans un environnement où vous bénéficierez d'un soutien et d'une grande autonomie. Nos équipes sont composées de collaborateurs infatigables et d'esprits créatifs, qui puisent leur inspiration dans la diversité de leurs parcours et de leurs expériences. Nous sommes fiers d'accompagner nos collaborateurs et leurs familles à chaque étape de leur parcours professionnel, en leur proposant des avantages sociaux et des avantages complémentaires parmi les plus attractifs et les plus complets du secteur. Il existe également de nombreuses possibilités d'évolution au sein de l'entreprise pour ceux qui font preuve de passion et de détermination dans leur travail.

Pour en savoir plus sur nos bureaux à travers le monde, veuillez copier-coller l'adresse https://www.morganstanley.com/about-us/global-offices dans votre navigateur.

Morgan Stanley est un employeur garantissant l'égalité des chances, qui s'engage à constituer et à maintenir un effectif diversifié en termes d'expérience et d'origine. Nos efforts en matière de recrutement témoignent de notre engagement fort en faveur d'une culture d'inclusion, dans laquelle les personnes sont recrutées, formées et promues en fonction de leurs compétences et de leurs talents.

Notre personnel est le reflet d'un large éventail des communautés mondiales au sein desquelles nous exerçons nos activités, apportant ainsi une grande diversité de parcours, de talents, de points de vue et d'expériences.

Pour plus d'informations, rendez-vous sur: https://www.morganstanley.com/people-opportunities/eeo.

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More about this job

Responsibilities

Develop Python automation and CI/CD solutions to improve software delivery, developer productivity, and operational efficiency. Modernize platforms and engineering practices, support containerized applications, build observability and metrics solutions, and integrate generative AI tools into developer workflows.

Requirements

Requires more than five years of software development experience, including at least three years building Python-based automation, tooling, or platform solutions. Candidates should have hands-on CI/CD and containerization experience, familiarity with generative AI and relational or NoSQL databases, and strong communication and problem-solving skills.

Skills

Python
Automation
CI/CD
Docker
Kubernetes
OpenShift
Generative AI
Large Language Models
MCP Tools
Agentic Architectures
PostgreSQL
MongoDB
Observability
Telemetry
Agile
Prompt Engineering

Benefits

Employee Benefits
Employee Perks

Visa sponsorship

Not detected in the job text

Keywords

Python
DevOps
Equity Risk Systems
Automation
Developer Productivity
Platform Modernization
CI/CD
Build Automation
Testing
Release Orchestration
Deployment Workflows
Technical Debt
Engineering Governance
Observability
Telemetry
Engineering Metrics
Docker
Kubernetes
OpenShift
Generative AI
Large Language Models
MCP Tools
Agentic Architectures
GitHub Copilot
Prompt Engineering
PostgreSQL
MongoDB
Agile
Software Modernization
Operational Excellence

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