Top Tech Jobs & Startup Jobs in Montreal

Develop and maintain high-performance Java platforms and secure Spring Boot microservices using REST APIs. Build robust data-access layers, apply automated testing and code-review practices, collaborate with global Agile teams, and deliver end-to-end solutions. Lead technical initiatives independently while ensuring development quality, security, and compliance.

Develops and executes integrated B2B marketing initiatives supporting business growth, sales enablement, offer positioning, thought leadership, content creation, events, client engagement, branding, and internal and external communications. Partners with business leaders, sales teams, subject-matter experts, and clients to translate complex technology and consulting concepts into compelling content and marketing activities while tracking performance and maintaining brand consistency.

Conçoit, développe, déploie et exploite des modèles de machine learning et d’IA générative en production. Construit des pipelines d’entraînement, validation, inférence et CI/CD, soutient les architectures LLM et RAG, surveille la performance et la dérive des systèmes, optimise les coûts et la latence, et veille à la sécurité, à la confidentialité et à l’IA responsable. Collabore avec les équipes d’architecture, de développement et de données, tout en encadrant des ingénieurs juniors.

Manage a major banking-sector technology project in a hybrid Montreal environment. Responsibilities include detailed project planning, coordinating internal and external teams, managing deliverables, costs, schedules, quality, risks, testing, validation, implementation, change management, communications, and user training. The role requires managing multiple IT initiatives simultaneously while maintaining strong French and advanced English communication skills.

Analyzes and documents functional and system requirements for BI, advanced analytics, and data-platform projects. Collaborates with architects, business analysts, product owners, and testing teams; defines scopes, supports solution integration, evaluates system impacts, validates migrations, executes testing, resolves complex defects, and maintains functional and test documentation. The role also transfers knowledge to application support teams and works with Azure-based data, ETL, analytics, monitoring, and access-control technologies.

Develops and maintains high-quality ETL applications using Talend and related integration technologies. Responsibilities include analyzing requirements, documenting solutions, training users and peers, installing and testing software packages, deploying applications, troubleshooting issues, and managing priorities. The role also requires collaboration with clients and analysts, experience with cloud and reporting tools, programming in Java, Python or Perl, Unix scripting, application development, and DevOps practices.

Coordinate and produce service proposals for public, parapublic, and private-sector clients. Monitor tender opportunities, track addenda and results, organize bid activities, prepare response templates, coordinate contributors, format and review submission documents, ensure administrative compliance, and maintain proposal tools, response libraries, calendars, and Salesforce. The role requires strong organization, written and verbal communication, attention to detail, Microsoft 365 proficiency, and French-English bilingualism.

Analyzes existing and new AI and analytics use cases, documenting current and target states, business rules, data transformations, pipelines, reports, and models. Translates business needs into functional and non-functional specifications for Azure-based data platforms. Identifies dependencies and impacts, supports technical integration and validation, ensures traceability, and contributes to testing strategy. Collaborates with BI, AI, data engineering, and infrastructure teams on MLOps and LLMOps initiatives.

Conçoit, exploite et fait évoluer des plateformes CI/CD et leurs runners cloud ou auto-hébergés. Intègre l’intelligence artificielle et l’automatisation aux pipelines, établit des standards de gouvernance et de sécurité AI, et accompagne les équipes de développement dans l’adoption des pratiques DevOps, DevSecOps et CI/CD. Optimise la performance, la sécurité et les coûts des environnements Azure.

Pilote l’adoption et la mise à l’échelle de l’intelligence artificielle dans les équipes d’affaires et TI. Conçoit des stratégies de gestion du changement, des programmes de formation, des communautés de pratique et des ressources d’utilisation de l’IA. Mesure l’adoption, la création de valeur et le retour sur investissement, élimine les obstacles et traduit les politiques de gouvernance en pratiques opérationnelles. Collabore avec les équipes techniques pour aligner l’adoption sur la livraison de solutions IA.