About the job
Agency Notice: We are not partnering with recruiting agencies for this position. Please refrain from contacting Vizcom employees regarding this role. Any resumes submitted without prior agreement will be deemed unsolicited.
Why Join Vizcom?
At Vizcom, we are on a mission to transform the design landscape by simplifying the journey from concept to realization, bringing innovative ideas to life. We are backed by significant funding (Series B with $51m raised to date), experiencing rapid growth month over month, and expanding our core engineering team in San Francisco. Our work includes real-time collaboration, large-scale GPU inference, employing a modern TypeScript stack, and delivering enterprise solutions.
Your Role
As a Senior Backend Software Engineer, you will be pivotal in architecting and delivering backend systems that ensure Vizcom remains fast, reliable, and scalable as our workload and customer base expand. Your responsibilities will encompass everything from queueing GPU workloads to optimizing GraphQL resolvers and streaming real-time events. You will have comprehensive ownership over APIs, performance, and data integrity — collaborating closely with frontend and AI teams to create exceptional user experiences. Within your first 90 days, you will: successfully launch one key backend feature (e.g., model queue, caching layer, or real-time service), decrease p95 latency in a significant API path by approximately 30%, author a technical RFC suggesting improvements to architecture or reliability, and implement or document one observability enhancement (metrics, traces, alerts).
Compensation
$195,000 - $225,000 annually + Equity Offerings
What You Will Accomplish
Design and build scalable APIs using TypeScript/Node, GraphQL, and Postgres
Profile and enhance performance for slow paths — queries, resolvers, and I/O
Develop and manage distributed systems: job queues, streaming, caching, and observability
Collaborate with AI engineers to integrate GPU inference pipelines into user workflows
Enhance reliability: lead incident reviews and strengthen CI/CD and deployment processes
Guide and mentor teammates on backend architecture, testing, and performance strategies
The Challenges Ahead
Distributed GPU inference and queueing will be key areas of focus as we scale.

