Own significant product capabilities end-to-end, from ambiguous problem framing through design, implementation, deployment, and iteration with minimal oversight
Locations (4)
Vancouver, British Columbia, Canada
Toronto, Ontario, Canada
Canada
United States
Responsibilities
Own significant product capabilities end-to-end, from ambiguous problem framing through design, implementation, deployment, and iteration with minimal oversight
Build accessible, data-rich user experiences with React and TypeScript that make complex commercial and healthcare insights clear and actionable
Engineer, Risk, Risk & Total Fund Management
CPP Investments | Investissements RPC · Posted Nov 9, 2026
As a Software Engineer, you will participate in the design, build, test and support of value-add technology solutions and products within the Risk Technology team.
Responsibilities
Participate in the design, build, test and support of technology solutions or enhancements to enable business capabilities in an Agile environment.
Apply an understanding of engineering best practices and participate in continuous improvement across the team.
Build an understanding of the technical landscape and the business capabilities it supports and apply critical thought to business requests.
Demonstrate agility and innovation by participating in experimentation and solicitation of early feedback.
Participate with colleagues to help frame and think deeply about problems, identifying options.
Requirements
Undergraduate degree or college diploma in related field (e.g. Engineering, Computer Science)
Nice to have: data processing frameworks
Nice to have: application integration technologies
Lead finance process transformation, standardization, and automation across Regal Rexnord’s Power Management Division, developing reporting tools, dashboards, and financial models to enhance visibility and decision‑making.
Locations (4)
Apodaca, Nuevo León, Mexico
Mexico
United States
Canada
Responsibilities
Lead finance process transformation and standardization across division
Develop and implement financial reporting tools and dashboards
Partner with plant controllers and operations teams to improve manufacturing finance processes
Support budgeting, forecasting, and long‑range financial planning
Spécialiste principal(e) en architecture de données et intelligence artificielle
Lead data architecture and AI solutions design, governance, and implementation across cloud platforms.
Responsibilities
Concevoir des architectures de données modernes de type lakehouse, maillage de données et tissu de données sur Microsoft Fabric, Azure Databricks, Snowflake ou des plateformes équivalentes
Définir les modèles d’ingestion, de traitement par lots et en temps réel, de stockage et d’exposition des données
Encadrer la modélisation des données, notamment les modèles dimensionnels, Data Vault et sémantiques, ainsi que les normes de qualité des données
Établir les fondations de gouvernance des données, incluant le catalogage, le lignage, la gestion des données de référence, la sécurité et la confidentialité à l’aide de solutions telles que Microsoft Purview et Unity Catalog
Concevoir des solutions d’IA générative et agentique intégrant la génération augmentée par récupération (RAG), les agents, l’orchestration et la recherche vectorielle sur Microsoft Foundry, Azure OpenAI, Amazon Bedrock ou Google Vertex AI
Requirements
Baccalauréat en informatique, en génie logiciel, en mathématiques, en statistique ou dans un domaine connexe
Maîtrise constitue un atout
Nice to have: Certifications Microsoft Fabric Analytics Engineer Associate (DP-600)
Nice to have: Fabric Data Engineer Associate (DP-700)
Nice to have: Certifications AWS ou Google Cloud
Sr Software Development Engineer (Full Stack) - Evisort AI
Join a collaborative, cross-functional team to enhance and expand an AI-driven contract management platform, delivering scalable, user-centric solutions for legal and business teams.
Compensation
Primary CAN Base Pay Range: $140,000 - $210,000 CAD
Responsibilities
Collaborate with engineering, data science, product, and design teams to build and evolve our vision, strategy, and roadmap
Participate in a supportive, iterative team culture that values curiosity, learning, and strong engineering practices
Contribute to the growth and success of your teammates through knowledge sharing and mentorship
Take ownership of multiple functional areas in our platform — from development to production (“you build it, you run it”)
Architecting and building scalable machine learning models and AI systems, including Generative AI and LLM-powered agents for Workday's core enterprise applications.
Compensation
The annualized base salary ranges for the primary location and any additional locations are listed below. $156,000 - $234,000 CAD
Responsibilities
Design, develop, and deploy scalable machine learning models and AI systems
Take full ownership of the ML lifecycle, including data extraction, feature engineering, model training, deployment, and continuous monitoring
Partner with Data Scientists, Software Engineers, Product Managers, and UX Designers
Establish and advocate for engineering best practices and robust MLOps processes
Guide and mentor junior engineers, conduct code and architecture reviews
Design and deploy production-ready AI solutions for remote monitoring and expand AI capabilities across the organization.
Compensation
The compensation range for this role is $90,000-$120,000 CAD per year. This job is also eligible for bonus pay.
Responsibilities
Design and deploy end-to-end AI and machine learning solutions for remote monitoring, predictive insights, anomaly detection, and intelligent alerting.
Build generative AI applications using large language models, RAG, and natural language processing.
Partner with Data Engineering and Analytics Manager and business stakeholders to identify and prioritize high-impact AI opportunities.
Expand AI capabilities across platforms supporting ordering, sales, engineering documentation, troubleshooting, and service.
Build and maintain data pipelines and model infrastructure required for reliable, production-ready AI applications.
Requirements
Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or another related technical field
As an Electronic Design Automation (EDA) Software Engineer within Altera you will be working on one of the most fascinating technology used in big data centers - The Field Programmable Gate Arrays (FPGA).
Compensation
Estimated Salary Range: $110K – $120K CAD
Responsibilities
Developing high quality C/C++ software code for enabling placement and mapping of peripheral components in FPGAs.
Owning, developing and enhancing tools that automate the Device Modeling of peripheral components of FPGA.
Owning the hardware/software co-design architecture of various blocks.
Designing and implementing new features based on the hardware/software co-design architecture as well enhancing existing features while maneuvering your way through a huge code base.
Owning various analytical/logical/CAD tasks involved in device modeling and compilation of various peripheral components.
Build and maintain real-time computation services (AWS Lambda) that serve scores and calculations on-demand to the customer-facing app, with an eye toward latency, reliability, and cost at scale
Design and maintain reliable, scalable APIs and backend services connecting ODAIA’s data, ML, analytics, and agentic capabilities to customer-facing products
Work across our stack: AWS, Kubernetes, Snowflake, PostgreSQL, and embedded analytical engines like DuckDB and DataFusion
Software EngineerNewOdaia Intelligence Inc. · Remote, Canada+3 more
Sr Software Development Engineer (Full Stack) - Evisort AINewWorkday, Inc. · Vancouver, Canada