Distributed systems, APIs and microservices Event-driven architecture Solid AWS experience across compute, storage, networking and IAM Ability to turn unclear business goals into technical architecture Experience supporting ML inference pipelines, including data normalization, feature pipelines, feature stores or model-serving integrations Demonstrated use of GitHub Copilot, LLM-powered development workflows or agentic coding tools Comfortable working at startup speed with evolving requirements Strongly preferred: Edge computing or CDN execution experience Edge workers, CDN functions, or equivalent JWT/JWS, OAuth 2.0, PKI, token validation or identity/security platforms Python and Databricks ML model-registry integration Distributed tracing, structured logging and observability #J-18808-Ljbffr
📌 Api Java Architect - C$150,000 A Year (Toronto)
🏢 Agentic Ai
📍 Toronto
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