AI-powered staffing platform connecting software contractors and full-time hires
Mission.dev operates a two-sided marketplace for software talent, built on a modern polyglot stack (C#/.NET, Java, Python, Go, TypeScript, React Native) with real-time communication baked in via LiveKit and WebRTC. Their active project list—AI-assisted development tools, event streaming, low-latency communication platforms, ML operationalization—reveals a company scaling beyond basic candidate matching into product-differentiated tooling. Heavy senior/principal hiring across 8 countries signals rapid engineering expansion to support these capabilities.
Mission.dev is a Canada-based staffing platform founded in 2018 that helps technology teams source, assess, and manage software contractors and permanent hires. The company targets mid-market and enterprise software organizations seeking faster, more efficient hiring workflows. Their platform combines human expertise with AI-driven evaluation to reduce time-to-hire and improve placement quality. With 51–200 employees based in Montreal, the company is accelerating hiring, particularly for senior and principal-level engineers across distributed geographies.
C#, .NET, Azure, Java, Spring Boot, TypeScript, Python, Go, PostgreSQL, Kafka, Redis, React Native, and real-time communication layers (LiveKit, WebRTC). ML capabilities built on PyTorch, scikit-learn, and Hugging Face.
Enterprise real-time communication products, AI-assisted development tools, event streaming platforms, ML model operationalization, and microservices infrastructure. Also addressing technical debt reduction and system modernization internally.
Other companies in the same industry, closest in size
Mission.dev's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.