Top Tech Jobs & Startup Jobs in Toronto

Design, develop, deploy, and support scalable cloud-native backend services, REST APIs, microservices, and distributed applications. Own solutions across the full software development lifecycle, including database optimization, automated testing, observability, troubleshooting, and production support. Collaborate with cross-functional teams on architecture and technical decisions, improve platform reliability and performance, and mentor engineers through code reviews, guidance, and knowledge sharing.

Build and maintain predictive models, including propensity-to-upgrade and engagement scoring, to drive AI product adoption and customer expansion. Develop features from product, behavioral, campaign, learning, and firmographic data. Partner with Marketing, Customer Success, Data Engineering, Product, and Commercial teams to operationalize models in Treasure Data and activation workflows. Monitor model performance, support experimentation, measure lift, document methodologies, and communicate insights to technical and nontechnical stakeholders.

Leads an AI-first product operations office across Thomson Reuters’ TAAP portfolio. The role automates coordination, dependency tracking, reporting, and communications; advances AI maturity through shared infrastructure, agentic workflows, playbooks, and modern product development practices; and drives organization-wide change. Responsibilities include managing a senior product operations team, enabling product managers, coordinating cross-functional commitments, supporting customer migrations, establishing business metrics, and leading communications and cultural transformation across product, engineering, design, and customer success.

Lead backend and AI orchestration systems for CoCounsel Audit: design and operate scalable, low-latency AI workflows, integrate LLMs and retrieval systems, mentor engineers, set platform strategy, and ensure reliability, observability, and auditability at production scale.

Lead the engineering team for a search platform at Thomson Reuters, focusing on building, operating, and evolving the infrastructure while managing a team of software engineers and aligning efforts with business priorities.

Lead product strategy and roadmap to enter Financial Services for Noetica. Define customer requirements, design data-intensive features, partner with engineering, GTM and sales, and drive commercial growth and integrations to scale the product for fund managers, credit managers, and treasuries.

Lead architecture and implementation of AI-first backend and orchestration systems for Audit Suite. Drive scalable, reliable AI workflows (LLM integration, retrieval, vector stores), mentor engineers, set technical direction, and collaborate across product, design, and ML to deliver auditable, high-throughput document-centric solutions.

Lead the Customer Files Orchestration engineering team and own its distributed service end to end, including file upload, storage, extraction, embedding, indexing, APIs, queuing, reliability, and operations. Hire, coach, and develop engineers; establish team processes, on-call, SLOs, and incident practices; set technical direction and roadmap; and partner with product, platform, storage, document understanding, and indexing teams to scale a reliable, API-first service.

The Lead Data Engineer will architect and develop reporting solutions, integrate AI, analyze complex datasets, and mentor team members to enhance data-driven decision-making.

As a Senior Software Engineer, Full Stack, you will build backend services and APIs for a document analysis platform, focusing on server-side architecture and data processing, while also contributing to frontend features as needed.