Top Tech Jobs & Startup Jobs in Montreal

Designs, develops, and maintains high-performance Java platforms supporting lending businesses. Builds Spring Boot microservices, REST APIs, and data access layers; applies automated testing, code reviews, security, and SDLC best practices. Collaborates with global teams in Agile delivery, drives technical initiatives, and provides technical guidance.

Develops and executes integrated B2B marketing initiatives supporting business growth, sales enablement, offer positioning, content marketing, thought leadership, events, client engagement, and corporate communications. Partners with business leaders, sales teams, subject matter experts, and stakeholders to create compelling marketing materials, launch service offerings, strengthen brand consistency, and support business development and pipeline generation.

Develop and optimize Python backend services for financial forecasting automation. Build and evolve distributed architectures and data pipelines using DataIQ, Databricks, and Snowflake. Automate recurring processing with Python and SQL, collaborate with engineering, data, and infrastructure teams, and contribute to architecture decisions, testing, CI/CD, monitoring, security, and performance improvements. Integrate legacy platforms such as Teradata while modernizing deliverables toward Snowflake.

Develop and deploy production-grade AI and generative AI solutions, including NLP, LLM, predictive-model, and intelligent-agent applications. Build AI services with AWS Bedrock and SageMaker, design APIs and microservices, and establish practices for model lifecycle management, monitoring, security, privacy, responsible AI, and cost optimization. Provide technical leadership through code reviews and mentoring while applying AI-assisted development tools.

Develop and optimize Python backend services that automate financial forecasting and recurring processing. Build and evolve data pipelines and distributed architectures using SQL, DataIQ, Databricks, and Snowflake. Collaborate with engineering, data, and infrastructure teams on integrations, architecture, testing, CI/CD, monitoring, performance, reliability, and security. Work with Teradata and legacy platforms while delivering solutions in a regulated financial environment.

Conducts moderated and unmoderated user research for Canadian public sector projects, including interviews, surveys, diary studies, usability, accessibility, card sorting, and tree-jacking. The researcher scopes and executes studies, analyzes findings, produces reports and presentations, and provides recommendations for information architecture, content, interface, and service design. The role also contributes insights to design systems and research repositories while applying ethical, privacy, accessibility, and inclusive practices in Agile teams.

Design accessible, user-friendly digital products and services for Canadian public sector projects. Create wireframes, prototypes, interfaces, reusable components, design-system contributions, and annotated specifications for development handoff. Support user research, personas, usability testing, iterative feedback, accessibility compliance, and visual brand guidelines. Collaborate with stakeholders and Agile teams, lead or participate in design critiques, communicate strategic alignment, and present evidence-based recommendations. The role requires more than 10 years of UX experience and familiarity with AI, specifically Claude Code.

Le Scientifique de données réalisera des revues de littérature, collectera et intégrera de grands volumes de données, puis développera et évaluera des modèles d’apprentissage automatique. Le rôle comprend des travaux sur les réseaux de neurones graphiques, l’analyse visuelle, l’explicabilité des modèles et la détection de contenus générés par l’IA. La personne présentera ses résultats aux parties prenantes et collaborera avec une équipe de recherche à Québec en mode hybride.

Build and deploy production-ready generative AI and agentic systems, including RAG, orchestration, tool integrations, evaluation frameworks, and application infrastructure. Partner with enterprise stakeholders to identify high-value AI use cases, design trustworthy solutions within security and governance constraints, and manage systems through production adoption and iteration. Communicate architecture, cost, and delivery trade-offs to technical and non-technical audiences.

Définit, structure et documente les besoins d’environnements multi-systèmes. Dirige la planification et l’exécution d’expérimentations, coordonne les équipes de développement et de test, modélise les processus, interfaces et dépendances techniques, puis supervise les livrables de démonstration. Le poste exige une expertise avancée en analyse logicielle, architecture, développement Java et C++, ainsi qu’une expérience des systèmes de simulation militaire et des protocoles DIS, HLA et de communication tactique.