Software Engineer (Canvas, AI & Agentic Engineering)

About the role

At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers. We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:

THE ROLE: BUILDING THE NEXT GENERATION OF CANVAS

As a Software Engineer II, you will join the team behind Canvas —our high-scale video and media platform that allows millions of instructors and students globally to collaborate, create, and learn through interactive video and audio.

We are redefining how software is built and delivered. In this role, you won’t just write clean, scalable full-stack code; you will be an active driver of our AI SDLC (Agentic Software Development Life Cycle). You will leverage cutting-edge agentic workflows, build custom AI skills, and integrate Claude and autonomous developer agents into our daily engineering practices—delivering high-impact educational features faster, smarter, and with greater architectural rigor.

TECH STACK & AI TOOLING

- Frontend: React, TypeScript, Modern JavaScript (ES6+), WebSockets, Video.js

- Backend: Ruby on Rails, Node.js, REST APIs, GraphQL

- Data & Storage: PostgreSQL, Redis

- Cloud & Infrastructure: AWS (EC2, CloudFront, S3, SQS, Lambda, RDS), Docker, Kubernetes

- AI & Agentic Tooling: Claude (Tool Use, Custom Skills, Model Context Protocol), GitHub Copilot, AI-assisted CI/CD workflows

WHAT YOU WILL BE DOING

- Build & Scale Canvas: Develop and maintain mission-critical video processing, transcription, accessibility pipelines, and interactive analytics services using TypeScript, React, and Ruby on Rails.

- Pioneer Agentic Engineering (AI SDLC): Build, refine, and deploy custom Claude skills, autonomous development workflows, and tool integrations that automate repetitive engineering tasks, generate synthetic test datasets, and accelerate the PR review cycle.

- Architect Resilient Cloud Services: Utilize AWS primitives (S3, SQS, Lambda, CloudFront, EC2, RDS) to achieve high availability, low latency, and rock-solid uptime for media streaming and transcode queues across millions of global users.

- Intelligent Product Capabilities: Partner with product and UX teams to integrate intelligent, AI-enhanced features into Canvas.

WHAT YOU WILL NEED TO HAVE

- 3+ Years of Enterprise Engineering Experience: Proven track record building, testing, and maintaining distributed web applications in production environments.

- Hands-on Agentic Engineering Expertise: Demonstrated experience incorporating Claude, Cursor, Copilot, or LLM agentic toolchains into production engineering workflows—especially building custom skills, system prompts, automated code refactoring pipelines, or autonomous agent loops.