Data & Software Engineering Tech Lead (Hybrid)

We’re seeking an experienced engineering leader to join our Cloud and Platform Security team as a Data & Software Engineering Tech Lead to lead engineering teams and partner closely with security, product, and platform stakeholders to build secure, reliable, and scalable data platforms, services, and workflows. The role sits at the intersection of security, data, and software engineering where you will apply strong engineering fundamentals to complex security and business problems, building the data foundations, platforms, services, and automation needed to improve how security data is collected, processed, analyzed, and used across the organization.

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 Cybersecurity Engineering Manager position at Vice-President level, which is part of the job family responsible for providing specialist cyber expertise and creating solutions that protect the organization's systems and networks against actual and potential security threats and vulnerabilities.

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:

• •Define and execute the technical strategy and roadmap for data and software engineering capabilities supporting cloud and platform security.
• •Develop scalable, end-to-end data platforms and services supporting security telemetry, risk analytics, compliance, vulnerability management, and related security use cases.
• •Design and build data pipelines, APIs, services, integrations, and platform capabilities that enable security teams to efficiently access and act on high-quality data.
• •Establish engineering standards, secure-by-design principles, and best practices across software, data, and platform engineering to ensure reliability, data quality, observability, governance, resilience, and performance of security platforms.
• •Lead solution architecture and technical design, including integration patterns, data architecture, threat modeling, and alignment with enterprise security and regulatory requirements.
• •Oversee the development and operation of cloud-based platforms processing high-volume security telemetry, including logs, alerts, audit trails, vulnerabilities, and asset data.
• •Build reusable platforms, services, and automation that enable security teams to solve problems at scale and reduce manual processes.
• •Evaluate emerging technologies, AI capabilities, and engineering approaches to improve security outcomes, analyst workflows, and operational efficiency.
• •Lead, mentor, and develop engineering specialists while partnering with cross-functional stakeholders to deliver secure, high-impact outcomes.

What you’ll bring to the role:

• •Bachelor's degree or equivalent experience in Computer Science, Engineering, Cybersecurity, or a related field.
• •8+ years of experience in software engineering, data engineering, platform engineering, or a combination of these disciplines.
• •At least 2 years of experience in a technical leadership role (i.e., Tech Lead, Engineering Manager) with strong communication, stakeholder management, and collaboration skills.
• •Experience designing, building, testing, and operating production-grade software, data platforms, APIs, or distributed systems.
• •Experience working with large-scale datasets and building reliable systems for data ingestion, processing, transformation, storage, and consumption.
• •Understanding of distributed systems, data architecture, cloud technologies, security engineering, and modern software development practices.
• •Experience with production engineering disciplines including observability, reliability, performance, security, and operational support.
• •Experience with modern cloud data platforms, streaming technologies, or large-scale analytics systems is an asset.
• •Familiarity with machine learning, generative AI, large language models, or AI-enabled applications is preferred.

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 .

Chef(fe) technique, ingénierie des données et du logiciel (hybride)Nous sommes à la recherche d’un(e) leader expérimenté(e) en ingénierie pour rejoindre notre équipe Sécurité du nuage et des plateformes à titre de chef(fe) technique, ingénierie des données et du logiciel. Cette personne dirigera des équipes d’ingénierie et collaborera étroitement avec les parties prenantes en sécurité, produit et plateforme afin de concevoir des plateformes de données, des services et des flux de travail sécurisés, fiables et évolutifs. Ce rôle se situe à l’intersection de la sécurité, des données et de l’ingénierie logicielle, où vous mettrez à profit de solides bases en ingénierie pour résoudre des enjeux complexes de sécurité et d’affaires, en bâtissant les fondations de données, les plateformes, les services et les solutions d’automatisation nécessaires pour améliorer la collecte, le traitement, l’analyse et l’utilisation des données de sécurité dans l’ensemble de l’organisation.

Au sein de la division Technologie, nous misons sur l’innovation pour développer les connexions et les capacités qui propulsent notre entreprise, 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 gestionnaire de l’ingénierie en cybersécurité de niveau vice-président, faisant partie de la famille de postes responsable de fournir une expertise spécialisée en cybersécurité et de créer des solutions qui protègent les systèmes et les réseaux de l’organisation contre les menaces et vulnérabilités de sécurité réelles ou potentielles.

Depuis 1935, Morgan Stanley est reconnu comme un chef de file mondial des services financiers, évoluant et innovant continuellement afin de mieux servir