Top Tech Jobs & Startup Jobs in Toronto

Design, implement, and optimize monitoring and alerting across cloud infrastructure. Manage Extreme Cloud products, troubleshoot infra and application issues, improve deployment automation for Kubernetes microservices, enhance availability and scalability, provide 24/7 support, and participate in cloud security and compliance across distributed teams.

Lead discovery, prototype, and productize ML/AI and edge computing innovations. Build proofs of concept, collaborate with cross-functional teams, engage customers/partners for co-innovation, influence product roadmaps, and evangelize solutions to drive commercialization and market adoption.

Senior QA Software Engineer responsible for testing and validating networking and cloud-native systems. Responsibilities include network protocol and security testing, cloud platform and container orchestration validation, triage and root-cause analysis of production issues, observability-driven debugging, and building/using automation and AI tools to resolve complex customer problems.

Lead strategy and research for Generative AI and Graph ML, drive end-to-end ML system design and production deployments, mentor scientists, align ML innovation with product goals, and represent the company externally.

Lead AI engineering strategy and team to productize generative AI and autonomous systems. Drive end-to-end delivery from research to enterprise production, set architecture and reliability standards for LLMs, RAG, and multi-agent systems, and partner cross-functionally to measure business impact.

Lead discovery, prototyping, and commercialization of ML/AI and edge computing solutions. Build hands-on prototypes, collaborate with data scientists and engineers, engage customers and partners for co-innovation, influence product roadmaps, participate in standards/open-source, and evangelize thought leadership to advance productization and market adoption of intelligent networking capabilities.