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# Senior Software Engineer - Backend (Systems / Infrastructure)

- **Company:** Vizcom Technologies, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Databases, Continuous Integration, Data Integrity, Software Debugging, Distributed Systems, Github, PostgreSQL, Node.Js, Performance Tuning, Redis, Security Assertion Markup Language (SAML), Data Streaming, TypeScript, WebSocket, WebGL, Datadog, Pulumi, ReactJS, Grafana, Caching, Backend, Webpack, Kubernetes, Graphql, Front End Software Development
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_903125489bc5935b55c46f566f1a506d

## About the Role

* 5-8+ years building production web systems (TypeScript/Node or similar)
 * Strength in databases, performance tuning, and distributed systems
 * Experience operating Kubernetes or similar orchestration environments.
 * Fluency with observability tools and debugging live systems.
 * Bonus: GPU workloads, background job systems, or realtime architectures.

## Description

As the Senior Software Engineer - Backend (Systems / Infrastructure) you'll architect and deliver backend systems that keep Vizcom fast, reliable, and scalable as our workload and customer base grow. You'll work on everything from queueing GPU workloads to optimizing GraphQL resolvers and streaming realtime events. You'll have deep ownership over APIs, performance, and data integrity - while collaborating with frontend and AI teams to enable magical experiences. Within your first 90 days you will: ship one critical backend feature (e.g., model queue, caching layer, or realtime service), reduce p95 latency in one major API path by ~30%, author one technical RFC proposing an improvement to architecture or reliability, implement or document one observability improvement (metrics, traces, alerts)., * Design and implement scalable APIs in TypeScript/Node with GraphQL and Postgres

 * Profile and optimize slow paths - queries, resolvers, and I/O
 * Build and operate distributed systems: job queues, streaming, caching, and observability
 * Collaborate with AI engineers to integrate GPU inference pipelines into user workflows
 * Improve reliability: lead incident reviews, strengthen CI/CD and deployment flows
 * Mentor teammates on backend architecture, testing, and performance thinking

The Problems You'll Tackle

 * Distributed GPU inference and queueing with bursty workloads.
 * Realtime synchronization with WebSocket and CRDT-based collaboration.
 * GraphQL performance: caching, batching, resolver optimization.
 * Secure multi-tenant data boundaries and enterprise integrations (SSO/SAML/SCIM).

Our Stack (today)

 * Frontend: TypeScript, React, Vite, WebGL; realtime collaboration.
 * API/Backend: TypeScript/Node, GraphQL (PostGraphile), Postgres, Redis, background workers.
 * Infra: Kubernetes, Pulumi, CI/CD with GitHub Actions, Datadog for observability, feature flags.
 * Security/Enterprise: SSO/SAML (WorkOS), SOC 2-minded practices.