Top Tech Jobs & Startup Jobs in Toronto

Leads end-to-end modernization from a monolith to microservices, including legacy analysis, architecture, estimation, data migration, deployment, and production support. Guides .NET services, databases, messaging, containerization, and frontend integrations. Acts as the technical escalation point for complex issues while improving Jira tracking, estimation accuracy, QA collaboration, release predictability, and engineering processes. Manages and develops the team through one-on-ones, performance reviews, feedback, and career-focused objectives.

Own full-cycle accounting for five international entities, including month-end close, general ledger reviews, intercompany reconciliations, parallel ERP and QuickBooks accounting, statutory audits, tax compliance, forecasts, variance analysis, and KYC/AML requests. The role coordinates auditors, tax partners, banks, acquirers, and payment service providers across multiple jurisdictions.

Lead the end-to-end product experience across acquisition, onboarding, avatar selection, chat, media generation, and retention. Drive conversion, retention, and LTV through hypotheses, prioritization, A/B testing, and data-informed design. Establish the product’s design direction and design system, lead a multidisciplinary design team, and partner with product, analytics, marketing, engineering, research, and support.

Own and improve production infrastructure reliability, deployments, Infrastructure-as-Code, Kubernetes environments, automation, CI/CD, monitoring, alerting, and observability. Investigate incidents, optimize system performance, maintain documentation and runbooks, and support DNS, WAF, CDN, and caching infrastructure. The role requires strong Linux administration, Bash scripting, networking, Git, and containerization skills, with independent ownership and collaboration across development and operations teams.

The Senior .Net Developer will enhance SDG's C#/.NET Core codebase, design high-load services, and optimize MS SQL queries, benefiting from a remote work environment and attractive benefits.

Lead training and fine-tuning of generative computer-vision models (text2image, image2image, video2image) including IP-adapters; develop image/video classifiers, rankers, and captioning models; track CV research and define roadmap; build iterative model improvement and quality validation systems; optimize inference performance (diffusion optimization, quantization, kernel/framework-level); optionally train multimodal CV+NLP companions.