Top Tech Jobs & Startup Jobs in Montreal

Leads design, implementation, integration, production support, and lifecycle management for enterprise content management and survey SaaS platforms. Translates business needs into technical solutions, oversees APIs and authentication, resolves production issues, drives service improvements, manages vendors, and mentors engineers. The role requires extensive application development experience, enterprise SaaS expertise, DevOps proficiency, and bilingual French-English communication.

Design and deploy NLP/ML/GenAI solutions (LLMs, RAG, knowledge graphs) to enhance surveillance and compliance detection. Research novel techniques, build benchmarks, collaborate with Compliance, Legal, Financial Crimes, and IT to operationalize models and automate workflows.

Supports HR data governance and lifecycle management, including retention, archival, protection, disposition, data quality, reference data, metadata, and stewardship. Helps develop policies, standards, and controls; manages governance workstreams; collaborates with business, technology, legal, compliance, and risk stakeholders; resolves data issues; monitors processes; and improves compliance and operational efficiency. The role is hybrid in Montreal and requires French and English proficiency.

Lead Morgan Stanley’s global HR data governance and quality function. Build and manage a high-performing team, establish ownership and control frameworks, improve data quality, and oversee cataloging, lineage, monitoring, documentation, and metadata. Partner with HR product, analytics, engineering, risk, and control teams to embed governance into systems, pipelines, reporting, and AI tools. Define the strategic roadmap, translate technical and policy requirements for varied audiences, and drive scalable improvements across regions.

Design, develop, and maintain enterprise Java applications, RESTful services, database solutions, and Kafka-based event-driven systems. Participate in architecture, code reviews, testing, troubleshooting, and full software development lifecycle activities. Mentor junior developers and contribute to scalable, maintainable solutions for client onboarding and regulatory compliance platforms. The role is hybrid in Montreal and requires French and English proficiency.

Partners with HR, technology, and application stakeholders to define data requirements, analyze data flows and quality, support solution design, coordinate functional and UAT testing, and contribute to data governance, modernization, and system migration initiatives. The role also manages requirements, reconciliations, defect resolution, implementation validation, risks, dependencies, and stakeholder communications for HR data solutions.

Lead the design, development, and maintenance of strategic risk management applications in an Agile/DevOps environment. Develop scalable Java, Spring, and Spark backend solutions; build Angular or React frontends; implement RESTful services; and support testing, deployment, integration, and production operations. Collaborate with product leads, business analysts, end users, and global development teams while driving continuous improvement through automated testing, design patterns, and AI-enabled development tools.

Leads operational oversight and modernization of real-time market data platforms across approximately 200 production hosts. Responsibilities include infrastructure upgrades, migrations, monitoring, observability, automation, production support, troubleshooting, and operational readiness. Develops Python and Shell tooling, agentic workflows, and AI-assisted engineering solutions while collaborating with development, infrastructure, and operations teams to improve platform reliability, resilience, and scalability.

Lead HR data capability delivery: translate business needs into functional specs and user stories, analyze HR/Workday data, design Workday reports, validate API integrations, triage data issues, and support testing and platform releases to enable workforce insights and AI-supported decisions.

Lead design, development, and maintenance of Java/Python services for Securities Reference Data (Indexes/ETFs). Drive ingestion, mastering, distribution, data quality, and governance. Build microservices, event-driven flows (Kafka), and databases; troubleshoot production incidents; partner with stakeholders and global teams to deliver resilient, observable systems.