Callière Group is a boutique firm specializing in tailored executive search, talent acquisition, and advisory services for the Professional Services, Financial Services, Retail, and Technology sectors.
Montreal, Quebec
The Callière Group is a boutique organization that provides tailored executive search, talent acquisition, and advisory services to meet the unique challenges our clients face. We pride ourselves on a collaborative approach. We partner with our clients to solve their most challenging talent acquisition and management needs. The Callière Group has a dependable foundation of recruiting Management Consulting, IT professionals and Management Executives from across industries with particular expertise helping organizations within the Professional Services; Financial Services; Retail and, Technology sectors. Our outcome based approach is built on ensuring alignment of stakeholder needs. Our job is to provide our clients with the right candidates for their strategic talent requirements as well as to provide top tier advisory services. The Callière Group approach is one that is built to minimize organizational disruption; collaboratively defines and articulates an organization’s specific talent needs; and, best positions organizations and candidates for success. The commitment to delivering results that organizations, employers and candidates demand and deserve is best achieved with Callière Group consultants. Consultants who have gained wisdom and foresight that can only come from direct Professional Services experience at all levels, ongoing training, and have significantly accrued time-tested experience in both successful and even unsuccessful project execution.
Hybrid · Toronto
Developers will design, build, test, and support enterprise technology solutions within collaborative Agile teams. They are responsible for developing APIs, maintaining clean code, and participating in the full software development lifecycle.
On-site · Toronto
The AI Developer will design and build scalable, production-ready AI applications by integrating machine learning models and generative AI capabilities. They will also collaborate with cross-functional teams to implement automated testing, monitoring, and secure data-processing workflows.
Hybrid · Toronto
Lead the end-to-end design and deployment of scalable backend services and public-facing APIs within a cloud-native AWS environment. Collaborate with enterprise clients to map integration strategies and resolve complex technical roadblocks.
Hybrid · Montréal
Architect, develop, and maintain full-stack applications using .NET and modern frontend frameworks like React. Collaborate with cross-functional teams to build secure, scalable financial systems while leveraging AI-assisted tools to optimize development workflows.
Hybrid · Montréal
Build and maintain scalable, high-performance software for real-time financial data platforms. Collaborate with cross-functional teams to design, test, and implement robust technical solutions.
Hybrid · Montréal
You will design and operate agentic systems while building production infrastructure to support research hypotheses. This role involves end-to-end performance ownership, from network edge to in-memory stores, while collaborating with operations teams.
On-site · Toronto
You will design, build, and optimize high-throughput data processing systems for real-time and batch data. Additionally, you will develop robust storage solutions and automated tooling to ensure system reliability and data quality.
Hybrid · Toronto
You will own the full recruitment lifecycle for all engineering and technical roles, acting as the primary gatekeeper for talent density. Additionally, you will build and manage the recruiting infrastructure, including ATS management, metric tracking, and strategic sourcing within the Toronto market.
Hybrid · Toronto
Develop and ship end-to-end features for SaaS products using a modern Microsoft stack and React. Collaborate with product and design teams to implement robust backend services and maintainable front-end interfaces.
On-site · Toronto
Lead the design and evolution of real-time data systems and scalable lakehouse architecture to support operational intelligence and predictive modelling. Architect end-to-end ML pipelines and manage infrastructure using Infrastructure as Code to ensure reliability and scale.
