Member of Technical Staff, Core Backend

Why We're Hiring This Role

The Stream Module pipeline — VAD → STT → LLM → TTS → Transport — runs on cork/uncork back pressure during live phone calls. A hundred milliseconds of delay is audible. This role owns pipeline stability and pluggability, so the agents and FDE teams can add new models and providers without touching core.

You’ll consolidate BullMQ into Kafka, harden the provider abstractions (LLM, STT, TTS base classes), instrument the pipeline with event-driven OTEL tracing, and shore up the Postgres SPOFs that contributed to the Oct 15 and Oct 22 incidents.

• 30 Day: Ramp on the Stream Module pipeline and the cork/uncork back pressure model. Walk the Oct 15 / Oct 22 DB incidents and the duplicate-message incident. Land a scoped pipeline or provider-abstraction improvement.
• 60 Day: Own a slice of the BullMQ → Kafka consolidation. Ship event-driven OTEL instrumentation for at least one critical pipeline stage. Harden one provider plugin path so a new model can be added without core changes.
• 90 Day: Drive a measurable reliability or latency win on the call path. Be the backend owner that agents and FDE teams pull in for design reviews on new providers and pipeline changes.

• You’ve built real-time or streaming systems in production — media pipelines, streaming data, or event-driven backends. You’ve debugged a back pressure cascade.
• You have opinions on queue architecture (BullMQ, Kafka, Temporal) and when each is the right fit.
• You’ve built plugin or adapter architectures — extending base classes cleanly, with decoupled implementations.
• You’ve operated Postgres at scale: connection pooling, read replicas, schema migrations (Liquibase or similar).
• You instrument with Open Telemetry and think in event-driven traces, not just logs.

• Type Script + Node.js + NestJS. The codebase is huge NestJS, but a strong systems-thinking engineer ramps fast — language doesn’t gate the hire.

• Languages:
  
  Type Script on Node.js (primary).
• Framework:
  NestJS (large codebase).
• Pipeline:
  Stream Module (VAD → STT → LLM → TTS → Transport), cork/uncork back pressure.
• Queues:
  BullMQ (current), Kafka (target — consolidation on roadmap), Temporal.
• Database:
  Postgres (connection pooling, read replicas), Liquibase for schema migrations.
• Plugin system: provider abstractions — LLM, STT, TTS base classes (pluggable, decoupled from model integrations).
• Observability:
  Open Telemetry tracing, event-driven instrumentation.

A streaming or real-time platform (Discord, Slack, Zoom, Twitch, Mux, Live Kit), an ML-infra company (Modal, Baseten, Replicate, Together), or a pipeline/workflow shop (Temporal, Stripe Radar, trading systems).

Backend engineer who’s only built systems where users don’t wait in real time (overnight jobs, reports, dashboards).

• Generational impact:
  Build the human interface for every business.
• Ownership culture: 70% of the company are previous founders.
• Kind team:
  The founders, Jordan and Nikhil, are Canadians.

• Real stake:
  We offer a competitive salary and excellent equity ownership.
• Comprehensive health coverage: medical, dental, and vision plans.
• Team love:
  We love hanging out, and we do quarterly off-sites.
• Flexible time off: take what you need.
• More: catered meals, transportation, gym, and a $10k annual L&D budget.