Top Tech Jobs & Startup Jobs in Toronto

Own and evolve a production Azure platform supporting global, compliant cloud-native applications. Responsibilities include Bicep-based infrastructure, AKS operations, identity and access management, networking, compliance audits, multi-region resilience, observability, security, cost optimization, incident response, and engineering consultation. The role also develops reusable platform modules and templates, leads technical reviews and audit responses, mentors engineers, and participates in on-call and disaster recovery activities.

Design, develop, and implement Salesforce solutions (Sales Cloud, CPQ, Apex, Visualforce, LWC). Integrate systems via REST/SOAP, manage enviroments and change control, use Git and data/integration tools, and deliver technical documentation while collaborating with cross-functional teams.

Productionize, optimize, and scale LLM and ML inference across multi-cloud and Kubernetes. Deploy GPU-based workloads, implement routing/failover for model services, reduce latency via quantization/pruning/distillation, profile and tune hardware utilization, and build observability, monitoring, and cloud-native guardrails for enterprise AI services.

The Senior Applied Scientist will lead research projects in AI/ML for various legal and taxation solutions, focusing on developing scalable AI capabilities while mentoring junior team members.

The Lead Research Engineer will provide technical leadership, develop scalable ML solutions, and collaborate with teams to innovate and deliver products that enhance customer experiences in legal, accounting, and government sectors.

Lead and grow a backend and AI engineering team building AI-powered tax products. Hire, mentor, set technical direction, scope AI features end-to-end, collaborate with PM and Design, remove cross-team blockers, and improve engineering processes while developing domain expertise in tax workflows.

Hands-on technical leader building full‑stack customer-facing features across React/TypeScript frontends and Python/Node backends, contributing to AI capabilities (LLM integrations, agentic workflows, MCP), setting technical standards, mentoring engineers, and driving delivery from design through production.

Design and implement full-stack customer-facing features using React, TypeScript, and Python. Contribute to AI-powered capabilities (LLM integrations, agentic workflows, MCP/A2A), ensure code quality, collaborate with product and design, own workstreams end-to-end, and mentor through pairing and reviews.

As a Senior Software Engineer, you will develop AI-powered systems to enhance accounting workflows, build backend services, and ensure optimal performance and reliability of AI solutions.

Lead technical design, architecture, and delivery of backend and platform services for AI agent workflows. Own cloud infrastructure, IaC, CI/CD, Kubernetes/EKS, and managed AI runtimes. Improve reliability, observability, performance, and cost efficiency; mentor engineers; drive cross-functional initiatives and participate in on-call support.