Senior Full Stack Engineer (Backend-leaning) (San Francisco) Job at Cadre Inc, San Francisco, CA

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  • Cadre Inc
  • San Francisco, CA

Job Description

The Backend-Leaning Role

Youll architect and deliver backend systems that keep Vizcom fast, reliable, and scalable as our workload and customer base grow. Youll work on everything from queueing GPU workloads to optimizing GraphQL resolvers and streaming realtime events. Youll have deep ownership over APIs, performance, and data integrity while collaborating with frontend and AI teams to enable magical experiences.

What Youll Do

  • 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.

90Day Outcomes

  • 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).

The Problems Youll Tackle

  • Distributed GPU inference and queueing with bursty workloads.
  • Realtime synchronization with WebSocket and CRDTbased collaboration.
  • GraphQL performance: caching, batching, resolver optimization.
  • Secure multitenant data boundaries and enterprise integrations (SSO/SAML/SCIM).

What Great Looks Like

  • 58+ 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.
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