Top Tech Jobs & Startup Jobs in Montreal

Concevoir, développer et faire évoluer des solutions numériques et analytiques full-stack pour soutenir les opérations et la prise de décision. Agir comme référence technique et mentor, contribuer à l’architecture, appliquer les meilleures pratiques de développement, automatiser les déploiements DevSecOps et intégrer des outils d’intelligence artificielle. Conseiller les partenaires d’affaires, assurer la qualité, la performance et le soutien des solutions.

Contributes to quantitative equity-management research and strategy development through statistical analysis, algorithmic modeling, database and tool development, performance attribution, and market-risk analysis. Supports alpha strategy development by combining algorithmic and fundamental approaches, while monitoring macroeconomic and market conditions. Requires quantitative training, Python and SQL proficiency, understanding of market-risk measures and derivatives, and one to four years of relevant experience.

Designs, develops, and evolves business-process automation and digitalization solutions for enterprise services. Acts as a technical reference, leads stakeholder workshops, analyzes processes, and delivers solutions using Power Platform, AI agents, integrations, and APIs. Responsibilities include architecture, code reviews, deployment pipelines, governance, production support, observability, performance optimization, and technology enablement. The role also guides agent autonomy, human controls, fallback mechanisms, and applied AI implementations.

Designs, develops, operates, and scales a secure AI platform supporting model deployment, inference, monitoring, governance, and lifecycle management. The role provides cloud infrastructure and compute environments, integrates MLOps and LLMOps tooling, manages AI services, conducts technology evaluations, supports FinOps reporting, and collaborates with technology, security, architecture, and data science teams.

Conçoit, implante et fait évoluer le cadre FinOps de l’organisation. La personne titulaire établit les pratiques, la gouvernance, les indicateurs et l’outillage, tout en opérationnalisant la visibilité des coûts, le showback et l’optimisation continue. Elle conseille les équipes plateformes et produits, assure la qualité des données de coûts et soutient les décisions d’investissement technologique. Le rôle exige une expertise AWS, Azure et Cloud Cost Management, ainsi qu’une connaissance de Databricks, Snowflake et Datadog.

Partners with investment teams to translate business needs into digital and analytical solutions. Develops financial and economic data models, advanced analyses, econometric models, simulations, calculation libraries, and AI applications. Leads projects from prototyping through delivery, supports data governance, evolves the analytical ecosystem, and integrates solutions into portfolio decision-making processes. Requires strong Python and SQL skills, database and data-transformation expertise, quantitative knowledge, and six to nine years of relevant experience.

Develop and maintain scalable full-stack solutions supporting investment processes across the Maestro and Invest-O ecosystems. Serve as a technical reference, design architectures, collaborate with data and analytics teams, automate deployments and infrastructure through DevOps, support production solutions, and explore AI-enabled development. Advise investment-sector business partners, evaluate emerging technologies, and ensure integrated, secure, and user-focused digital solutions.

Contributes to the organizational resilience program, including business impact analyses, continuity plans, technology recovery procedures, incident and crisis management, resilience testing, training, reporting, and critical third-party resilience. The role also supports configuration of resilience tools, continuous process improvement, risk management, and automation within a hybrid technology environment.

Accompanies employees and teams in adopting Microsoft 365 and Copilot, develops training and communication materials, coordinates adoption initiatives, advises teams on new tools, and monitors developments in workplace technology and artificial intelligence. The role improves employee autonomy, productivity, and digital workplace practices through training, knowledge transfer, change support, and clear communication.

Develops and maintains digital and analytical solutions for private markets, contributing across the full software lifecycle. Responsibilities include application development, cloud environment configuration, DevOps automation, CI/CD pipelines, secure development, data ingestion and transformation, automated testing, observability, and daytime production support. The role collaborates with business partners, architects, designers, delivery teams, and managers to create reliable, maintainable, and user-focused solutions.