Top Tech Jobs & Startup Jobs in Toronto

Design, build, and operate Autodesk's distributed orchestration and execution platform. Write maintainable backend code, participate in design and code reviews, troubleshoot production using distributed logging/tracing, support internal teams, and join on-call rotations.

Design, implement, and maintain automated test frameworks and CI/CD-integrated test suites. Lead testing for features, execute unit/integration/performance/security tests, identify defects, mentor juniors, and improve testing processes across AWS-deployed systems.

Lead front-end development for high-performance user interfaces, adapting to new technology stacks, mentoring junior engineers, and leveraging AI tools for productivity.

As a Software Architect at Autodesk, you will design scalable software solutions, mentor teams, improve platform reliability, and influence architectural direction.

The Tax Director will oversee Autodesk's transfer pricing strategy, manage a global team, ensure compliance, and support tax audits.

The Senior Technical Content Developer will create audience-focused content, enhance customer digital support experiences, and manage the content lifecycle for M&E products at Autodesk, collaborating with stakeholders and leading a team of content creators.

Senior People Business Partner advising VP/SVP leaders on people strategy, org design, workforce planning, executive coaching, change management, talent and performance. Uses data-driven insights, partners with Centers of Excellence, and supports cross-functional and enterprise initiatives including M&A and integrations.

Lead the design and delivery of large-scale machine learning systems, mentoring engineers while driving technical strategy and collaboration across teams in AEC solutions.

Lead platform strategy initiatives at Autodesk, focusing on multi-year strategies, pricing, developer ecosystem, M&A evaluation, and stakeholder engagement.

Define and enforce ML quality strategy and acceptance criteria across data, model, and system levels. Design evaluation suites, metrics, and test datasets; automate ML QA using Python and CI/CD; build test harnesses and quality gates for training and deployment; evaluate CAD RL outputs; mentor teams, participate in code reviews, and document findings.