Sr. Software Engineer - Visualization Services

Autodesk•Toronto, ON

8d•CA$107,000 - CA$157,300

About The Position

Welcome to Autodesk! The world’s innovators, designers, engineers, builders, and creators trust Autodesk to help them design and make a better world for all. Autodesk’s Design and Make Platform helps millions of designers, engineers, builders, and creators turn ideas into real-world outcomes. The Visualization Services team builds the cloud infrastructure that enables customers to view and interact with large, complex 3D models smoothly on any device across Autodesk products. Imagine loading a multi-gigabyte 3D model in your browser and interacting with it within seconds. That is the experience our team makes possible. We process, optimize, store, cache, and stream 3D model data so customers can explore complex designs without specialized local hardware. We are looking for a Senior Software Engineer to own and deliver complex modules within our visualization services. You will work with system architects, principal engineers, and client-rendering teams to build richer viewing capabilities, improve performance and resiliency at scale, and solve demanding distributed systems and algorithmic problems. You will report to the Senior Software Development Manager based in Toronto.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
5+ years of hands-on software development experience building and operating production services.
Strong production experience with JavaScript/TypeScript and Node.js, or strong backend engineering experience in another language with demonstrated ability to ramp quickly on a Node.js service stack.
Hands-on experience with AWS infrastructure, especially ECS and EC2, and DevOps fundamentals such as CI/CD, Infrastructure as Code, and multi-environment deployment.
Strong algorithms and mathematics skills, with the ability to reason about complexity, data structures, and performance trade-offs.
Solid grasp of object-oriented and/or functional design, concurrency, troubleshooting, and independent problem-solving.
Experience working with high-traffic distributed systems, including REST or WebSocket APIs, data interchange formats such as JSON or Protobuf, and basic observability practices such as logging, metrics, and tracing.
Familiarity with Agile development.
Openness to using AI-assisted development tools to improve engineering productivity and quality.

Nice To Haves

Experience with C++ for native components, geometry processing, point-cloud processing, or storage systems.
Strong Java programming experience.
Experience with Infrastructure as Code such as Terraform or CloudFormation, and CI/CD pipelines such as Jenkins or Harness.
Systems-level experience with memory-mapped files, embedded key-value stores such as RocksDB, caching and eviction algorithms, or pager/streaming reader design.
Experience with 3D model data, geometry or mesh processing, point clouds, level of detail, compression, or streaming pipelines.
Experience with CDNs, global data distribution, containerization, or orchestration technologies such as Docker or Kubernetes.
Experience with observability tooling such as Dynatrace, Prometheus, Grafana, or Splunk.
Understanding of network protocols such as HTTP/2 and WebSockets and their impact on streaming performance.

Responsibilities

Independently design, build, and maintain complex modules of our streaming services, using sound judgment on problems with diverse scope and significant unknowns.
Own components or initiatives end to end: drive execution, apply solid engineering practices, meet quality and operational standards, and collaborate with key stakeholders.
Operate what you build: deploy and run services on AWS across multiple regions, primarily using ECS/EC2, with supporting services such as S3, DynamoDB, SQS, ElastiCache/Redis, Lambda, and CloudFront.
Improve performance and resiliency through caching and eviction strategies, retry and dead-letter recovery, memory-mapped or pager-based data access, and scaling policies, measuring impact with concrete data.
Troubleshoot and root-cause production issues with limited supervision; participate in incident response and drive follow-up improvements.
Contribute to design and architecture discussions, bring technology ideas to the team, and provide input into technical planning, roadmap discussions, and team goals.
Act as a multiplier within the team: review code, share knowledge, mentor more junior engineers, and help raise the bar on engineering practices.
Identify opportunities to automate, simplify, and remove inefficiency, including through thoughtful use of AI-assisted development tools and agents.
Occasionally help facilitate team rituals, planning, or delivery coordination.