Top Tech Jobs & Startup Jobs in Toronto

Design, build, and maintain backend systems and APIs for stablecoin-based pay-ins, payouts, deposits, and withdrawals. Own projects end-to-end as DRI, collaborate with cross-functional teams, resolve scalability and reliability issues, mentor engineers, and integrate blockchain/payment technologies while producing technical design documents.

Design, build, and operate Kubernetes cluster management tooling and developer-facing workflows. Deliver compute capabilities (jobs, cron, deployments, EFS, right-sizing), automate toil, improve observability and incident response, and partner with Security/Reliability teams. Apply AI tooling to improve infrastructure automation and developer productivity.

Own preparation, review, and submission of recurring Canadian regulatory filings; maintain parallel IFRS books, reconciliations, and capital adequacy reporting; drive monthly management and board-level financial analysis; partner with Tax, Treasury, Legal and vendors; build scalable reporting processes, automation, and internal controls; serve as Finance's primary contact for regulators and examinations.

Design, build, and maintain backend services for fraud and risk detection at scale. Deliver features end-to-end, partner with Data Science/ML, improve reliability and observability, respond to incidents, and build reusable systems to reduce financial loss and protect users.

Lead the SOX business process control environment, ensuring effective controls across finance and operations, collaborating with various teams, and managing SOX compliance initiatives.

The Senior Software Engineer will manage data systems, develop scalable pipelines, ensure data security, and build self-service applications for users at Coinbase.

Lead architecture and implementation of Coinbase's Risk Platform: build high-throughput, low-latency real-time fraud detection, decisioning, and mitigation systems. Define multi-quarter technical strategy, partner with Data Science/ML/Product/Compliance, implement AI-native agent-driven workflows, and mentor engineers to improve reliability, performance, and scale.

Lead design and delivery of backend risk systems to detect and prevent fraud, manage credit and market risk, and protect users. Drive architecture for distributed, high-availability services, partner with Data Science/ML and product teams, build AI-native detection and response systems, mentor engineers, own operational excellence, and lead incident response and post-mortems.