Live opening · Posted 1 day ago

Senior Java/Scala Developer - Risk Infrastructure (Hybrid) / Développeur(euse) principal(e) Java/Scala – Infrastructure de gestion des risques (hybride)

Morgan Stanley · Montreal, QC, CA
Eightfold onsite
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyMorgan Stanley
LocationMontreal, QC, CA
Work modeonsite
SkillsJava, Python
SourceEightfold
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

We’re seeking a Senior Java/Scala Developer to join the Optimus SDLC team and lead the evolution of Optimus within the broader Codetree ecosystem, which supports Morgan Stanley’s Fixed Income business and 1,500+ developers working across approximately 40 million lines of code and 400,000+ tests. This hands-on role will improve the software delivery lifecycle, from local development and code review through build, test, release, and deployment, by advancing developer tools, platform infrastructure, distributed systems, workflow automation, and AI-enabled engineering capabilities.
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:
* Build and enhance backend services, developer-facing tools, IDE integrations, bots, and SDLC platform infrastructure.
* Design reactive and event-driven applications that integrate state from source control, build and test systems, workflow services, and operational data stores, and remain reliable under asynchronous updates and partial failures.
* Contribute to AI-enabled engineering workflows across coding, testing, build failure diagnosis, code review, documentation, developer assistance, and remediation.
* Evolve SDLC tools and interfaces so AI assistants and agents can interact safely and reliably with these workflows at scale.
* Take ownership of operational reliability across the SDLC platform, diagnosing failures across services, applications, pipelines, distributed test infrastructure, schedulers, caches, and storage systems, and converting recurring issues into durable engineering improvements.
* Partner directly with developers through triage and user engagement, translating feedback into durable platform enhancements.
* Build observability, metrics, dashboards, and workflow automation that make the SDLC more reliable, transparent, and self-service.
* Operate and scale build and test infrastructure supporting a large monorepo and extensive automated test estate.
* Develop solutions with security, permissions, privacy, auditability, and responsible AI adoption in mind.
What you’ll bring to the role:
* 5+ years of software development experience, with strong Java or Scala skills (Python is used as a secondary language for automation and integration tooling).
* Ability to design and develop scalable backend services, developer tooling, platform infrastructure, or automation solutions.
* Understanding of Git workflows, code review practices, build systems, CI/CD concepts, test infrastructure, and release automation.
* Strong debugging and analytical skills, with a track record of taking ownership of complex issues across distributed systems, build environments, and developer workflows.
* Understanding of security, permissions, privacy, and auditability within engineering environments.
* Ability to communicate effectively with technical users and stakeholders.
* Experience with large monorepos, custom build systems, distributed test execution, or dependency graph analysis is beneficial.
* Interest in applying AI-assisted software engineering tools safely and effectively across the SDLC.
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) principal(e) Java/Scala – Infrastructure de gestion des risques (hybride)Nous sommes à la recherche d’un(e) développeur(se) principal(e) Java/Scala pour se joindre à l’équipe Optimus SDLC et diriger l’évolution d’Optimus au sein du vaste écosystème Codetree, qui soutient les activités de Revenu fixe (Fixed Income) de Morgan Stanley ainsi que plus de 1 500 développeurs travaillant sur environ 40 millions de lignes de code et plus de 400 000 tests. Ce rôle pratique contribuera à améliorer le cycle de livraison des logiciels, depuis le développement local et la révision de code jusqu’à la compilation, aux essais, à la mise en production et au déploiement, en faisant progresser les outils destinés aux développeurs, l’infrastructure de plateforme, les systèmes distribués, l’automatisation des flux de travail et les capacités d’ingénierie appuyées par l’IA.
Au sein de la division Technologie, nous misons sur l’innovation pour bâtir les connexions et les capacités qui alimentent notre société, permettant 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(fe) du développement logiciel au niveau Directeur(trice), 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 reconnue comme un chef de file mondial des services financiers, en constante évolution et innovation 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 améliorer des services applicatifs backend, des outils destinés aux développeurs, des intégrations aux environnements de développement (IDE), des robots automatisés ainsi que l’infrastructure de la plateforme SDLC.
Concevoir des applications réactives et orientées événements intégrant l’état provenant des systèmes de gestion du code source, des systèmes de compilation et de tests, des services de flux de travail et des dépôts de données opérationnelles, tout en demeurant fiables malgré les mises à jour asynchrones et les défaillances partielles.
Contribuer à l’évolution des flux de travail d’ingénierie appuyés par l’IA dans les domaines du développement, des essais, du diagnostic des échecs de compilation, de la révision de code, de la documentation, de l’assistance aux développeurs et de la remédiation.
Faire évoluer les outils et interfaces SDLC afin que les assistants et agents alimentés par l’IA puissent interagir de façon sécuritaire et fiable avec ces flux de travail à grande échelle.
Assumer la responsabilité de la fiabilité opérationnelle de la plateforme SDLC en diagnostiquant les défaillances touchant les services, applications, pipelines, infrastructures de tests distribués, ordonnanceurs, caches et systèmes de stockage, puis en transformant les problèmes récurrents en améliorations durables.
Collaborer directement avec les développeurs à travers les activités de soutien, de diagnostic et d’engagement utilisateur afin de transformer leurs commentaires en améliorations pérennes de la plateforme.
Développer l’observabilité, les métriques, les tableaux de bord et l’automatisation des flux de travail afin d’améliorer la fiabilité, la transparence et l’autonomie du SDLC.
Exploiter et faire évoluer l’infrastructure de compilation et de tests soutenant un important monoréférentiel (monorepo) et un vaste parc de tests automatisés.
Concevoir des solutions en tenant compte de la sécurité, de la gestion des accès, de la protection des renseignements personnels, de l’auditabilité et d’une adoption responsable de l’IA.
Ce que vous apporterez au rôle :
Plus de 5 ans d’expérience en développement logiciel, avec une solide maîtrise de Java ou Scala (Python est utilisé comme langage secondaire pour l’automatisation et l’intégration d’outils).
Capacité à concevoir et développer des services backend évolutifs, des outils pour développeurs, des infrastructures de plateforme ou des solutions d’automatisation.
Bonne compréhension des flux de travail Git, des pratiques de révision de code,

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