Engage . Enable . Empower
Toronto, Ontario
Arcadia is a high-performance recruitment firm operating on a top percentile trajectory across North America, with growth speed and per-head productivity placing it among the top 1–3% of agencies in the global market place. Built to challenge the traditional model, Arcadia has scaled to a multi-million dollar run rate in under a year through disciplined execution, selective partnerships, and consistent, elite-level performance. The business is designed for precision, output, and scale. Our footprint spans North America from coast-to-coast, with presence in Toronto and New York as well as key U.S. markets including Charlotte, Boston, San Francisco, Atlanta, and Miami. We partner with companies backed by leading venture firms including Y Combinator, Andreessen Horowitz, General Catalyst, Founders Fund, Accel, and GV, delivering talent that directly impacts outcomes at the edge of innovation. At the same time, we work with mid-market and enterprise organizations across North America, enabling access to the same caliber of talent, speed, and precision required to compete in an AI-driven landscape. Arcadia sits in a category that is not widely accessible, nor easily replicated. Built on Trust. Delivered with Discipline. Rooted in Integrity.
Hybrid · Toronto
Design, build, and maintain high-quality customer-facing product experiences and supporting backend systems. Own the full software lifecycle from technical design and implementation to monitoring and long-term maintenance.
Hybrid · Toronto
Design and build scalable backend applications and microservices using C# and .NET within AWS and Azure environments. Lead technical architecture, establish engineering standards, and mentor other developers to modernize core financial platforms.
On-site · Canada
Lead the development and deployment of production-grade machine learning models for anomaly detection and network performance optimization. Collaborate with engineering teams to build scalable feature pipelines and integrate ML models into production observability systems.