Senior Software Engineer

Description

The Canvas Core team builds and maintains the foundational platform that powers the company’s visual thinking experience. This includes the infinite canvas, key editor components, document editing behaviors, asset management, real-time collaboration, and the systems that enable fast, reliable, and intuitive interaction on the canvas.

We’re also responsible for the the company UI, the real-time message protocol that enables seamless remote collaboration, and the developer-friendly APIs that internal teams use to build features like diagramming, workshops, presentations, integrations, and AI-enabled product capabilities.

Our mission is to ensure the the company editor is fast, reliable, intuitive, and easy to build on.

We prioritize performance, simplicity, developer experience, and platform quality, enabling teams across the company to ship quickly and safely on top of Canvas Core.

YOUR MISSION

As a Senior Software Engineer, you’ll help design, build, and improve the Canvas platform so that the the company editor remains reliable, high-performing, and intuitive for our users.

You’ll work on the systems that power real-time collaboration, shared document editing, spatial interactions, rendering and interaction performance, asset management, developer APIs, and AI-enabled product capabilities across the the company editor.

Your role will be to reduce platform complexity, improve the quality and speed of Canvas development, and help teams ship high-quality editor experiences quickly and safely. You’ll partner closely with Product, Design, Engineering, and other stakeholders to turn ambiguous product and platform problems into clear, maintainable technical solutions.

Senior Engineers at the company lead by example through strong technical execution, thoughtful design, high-quality implementation, and collaborative problem-solving. They help raise the bar for their team through design discussions, code reviews, mentoring, documentation, and pragmatic improvements to engineering practices.

Responsibilities

• Own and deliver new Canvas platform capabilities and improvements from problem definition through implementation, release, measurement, and iteration
• Partner with Product and Design to shape high-quality user experiences, balancing pragmatic technical delivery with long-term platform needs
• Design and build maintainable Canvas platform systems, with accountability for quality, performance, reliability, and developer experience
• Contribute to developer-friendly APIs, service boundaries, and platform contracts that internal teams can build on quickly and safely
• Use AI-assisted tools and agentic workflows as part of your engineering practice to prototype, implement, test, document, and measure work effectively
• Strengthen the team through technical design reviews, demos, code reviews, mentoring, and improvements to engineering practices
• Build and evolve canvas systems with rich document and object models, including hierarchical scene or document structures, spatial indexing and querying, layout behavior, asset management, and selection mechanics
• Work on large-scale concurrent and real-time collaboration systems that keep shared documents synchronized across users, contributing to design decisions around event ordering, latency, conflict handling, and failure-mode management
• Help design, build, and integrate AI-enabled product capabilities where they intersect with the canvas, document model, real-time collaboration systems, or developer platform
• Improve performance through profiling, bottleneck analysis, architectural simplification, targeted optimization, and moving expensive work out of critical interaction paths so systems remain responsive as document complexity and user activity scale
• WHAT YOU’LL BRING
• Fluency in modern JavaScript/TypeScript, with familiarity in React, Node.js, or comparable modern frameworks
• 6+ years building and shipping large-scale production software as part of an agile engineering team
• Strong engineering judgment, with experience designing and delivering scalable, reliable, high-performance systems and developer-facing abstractions that balance simplicity, developer experience, and long-term maintainability
• Experience designing clean API contracts and service boundaries, including thoughtful data models, versioning, validation, error handling, documentation, and long-term maintainability
• Experience building distributed, concurrent, collaborative, or low-latency systems, such as collaboration tools, MMO games, shared-state systems, messaging protocols, or other low-latency user experiences, with familiarity across synchronization, consistency, event ordering, latency, failure modes, and performance trade-offs
• Exposure to complex systems with rich object models, including hierarchical scene or document structures, spatial indexing and querying, layout behavior, asset management, selection mechanics, and performance-sensitive user interactions is a strong plus
• Interest in AI-enabled product capabilities, or hands-on experience building or integrating them in production, such as intelligent editing, automation, recommendations, semantic document understanding, or collaboration features powered by AI
• Performance optimization experience, including profiling, bottleneck analysis, memory and CPU efficiency, latency reduction, and responsiveness as document complexity and user activity scale
• Familiarity with parallel processing, off-main-thread architectures, rendering pipelines, background computation, or other multithreaded systems is a plus
• Practical experience using AI-assisted tools to prototype, implement, test, document, and measure engineering work
• Communication and collaboration skills, with a low-ego approach to working with Product, Design, and Engineering, and the ability to contribute meaningfully to technical discussions, collaborate across teams, and help improve team engineering practices
• Comfort operating in high-growth, fast-paced environments or scale-ups is a plus
• Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.