Cadre Inc
Senior Full Stack Engineer (Backend-leaning)
Cadre Inc, San Francisco, California, United States, 94199
The Backend-Leaning Role
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 real‑time events. You’ll have deep ownership over APIs, performance, and data integrity — while collaborating with frontend and AI teams to enable magical experiences.
What You’ll 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.
90‑Day 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 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).
What Great Looks Like
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.
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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 real‑time events. You’ll have deep ownership over APIs, performance, and data integrity — while collaborating with frontend and AI teams to enable magical experiences.
What You’ll 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.
90‑Day 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 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).
What Great Looks Like
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.
#J-18808-Ljbffr