Top Tech Jobs & Startup Jobs in Toronto

Develop ETL data pipelines, scalable RESTful APIs, and microservices using cloud, big data, streaming, and database technologies. Optimize data processing and query performance, troubleshoot technical issues, ensure data integrity and security, write automated tests, review code, document APIs, and collaborate with engineering, product, analytics, infrastructure, QA, and business teams.

Design and develop scalable backend services, REST APIs, and plugin architecture for Autodesk’s AI Assistant platform. Build secure, reliable, maintainable software using automated testing and test-driven development. Collaborate with architects, product managers, DevOps, and engineering teams; participate in design reviews, mentor developers, troubleshoot complex issues, and recommend technologies that improve quality and productivity.

The Senior Revenue Analyst supports revenue accounting transformation initiatives. Responsibilities include documenting U.S. GAAP and ASC 606 requirements, performing UAT, resolving issues, implementing processes and internal controls, providing accounting guidance, supporting system and business-model changes, and assisting with training and transition activities. The role collaborates with Revenue Accounting, Controllership, system integrators, project managers, developers, and other stakeholders.

Own digital, marketing, and e-commerce analytics projects covering subscription acquisition, retention, and expansion. Analyze and visualize data, create dashboards, identify meaningful insights, align metrics across teams, improve reporting, and communicate concise recommendations to support business decisions. Collaborate with global stakeholders, explore customer behavior and purchase funnel trends, and enable self-service data access and understanding.

Provides technical leadership and hands-on software engineering for Autodesk’s developer portal and application management platform. Responsibilities include architecture, implementation, API and workflow improvements, production operations, engineering excellence, AI-assisted development, cross-team technical direction, and mentoring. The role requires designing scalable distributed systems, resolving complex production issues, influencing decisions across teams, and delivering reliable developer-facing products.

Partner with Marketing, Sales, Operations, Strategy, and other teams to define analytical needs and deliver insights. Analyze customer behavior, product usage, engagement, retention, marketing performance, and operational outcomes using SQL, Python, Snowflake, visualization tools, and AI. Build dashboards and reports, identify trends and opportunities, and communicate practical recommendations to technical and nontechnical stakeholders.

Design, build, test, and maintain backend software features and system components for access controls and core APIs. Diagnose bugs, performance bottlenecks, and system errors; collaborate with distributed teams; and participate in code reviews and pull requests. The role requires backend and distributed systems engineering experience, SQL/PostgreSQL knowledge, strong communication, and the ability to translate complex software problems into technical tasks.

Designs APIs and develops, tests, documents, debugs, and maintains scalable platform software. Collaborates with product, development, DevOps, and support teams; translates business needs into technical requirements; contributes to architecture and roadmap decisions; mentors team members; conducts code reviews; and resolves complex programming, performance, security, and availability challenges. The role emphasizes reusable modules, REST API development, distributed systems, production scalability, and modern software delivery practices.

Build and maintain full-stack features across React web, React Native mobile apps, and Python/Django backend services. Design reliable REST APIs for intermittent connectivity, write well-tested code, contribute to architecture, mentor engineers, participate in on-call support, and improve development workflows. The platform serves construction workers on active job sites and uses PostgreSQL and AWS.

Leads Autodesk’s enterprise GTM revenue analytics foundation, including KPI governance, semantic data models, reporting standards, dashboards, and executive insights. Partners with data, systems, finance, sales, marketing, and customer success teams to improve revenue decision-making. Defines AI-enabled analytics use cases and roadmap while ensuring scalable, secure, governed solutions. Serves as a technical and analytical leader, influencing cross-functional priorities and mentoring team members.