Founding Fullstack Software Engineer

Code Four; San Francisco (CA); Hybrid; USD 100,000 - 250,000; Full time

Job summary

Code Four in San Francisco, CA, is seeking a founding fullstack software engineer to own substantial parts of the product—from low-latency video ingest to officer-facing review interfaces. You will work closely with the founders to shape the engineering culture and architecture powering mission-critical public-safety workflows.

The role emphasizes building event-driven backends, ML integration surfaces, and secure, auditable systems, with remote US work options.

Qualifications

• Experience with Next.js, TypeScript, and GCP in production systems.
• Experience building distributed, low-latency backends and event-driven architectures.
• Familiarity with security and CJIS compliance in software deployments.

Responsibilities

• Architect event-driven backend using Next.js/TypeScript/GCP.
• Productionize ML endpoints and expose them through resilient APIs.
• Build dashboards for officers to review, redact, and approve reports with auditability.
• Enforce end-to-end encryption, audit logging, and RBAC across services.
• Design scalable system architecture to support many agencies.

Skills

Next.js TypeScript

GCP

Distributed Systems

GraphQL/REST

Realtime Video/Audio

Job description

Founding Fullstack Software Engineer at Code Four (P25)

Modernizing the police workflow.

San Francisco, CA, US Full-time US citizen/visa only 3+ years Google Cloud GraphQL Node.js Python TypeScript Firebase Docker Next.js

Code Four is an AI‑first public‑safety startup that transforms hours of vision footage (think bodycams, security cameras, LPRs) into context in seconds, giving municipal, county, stateand federal agencies back thousands of administrative hours.

About the role

Skills: Next.js, TypeScript, GCP, Distributed Systems, Realtime Video/Audio, GraphQL/REST

We’re looking for a fullstack engineer to own massive slices of our product surface: from low‑latency video ingest to the interfaces officers use to review evidence and approve auto‑generated reports. You’ll work shoulder‑to‑shoulder with the founders, ship fast, and help define the engineering culture and architecture that powers mission‑critical workflows for law enforcement.

What You’ll Own

• Event‑driven backend: Architect our Next.js / TypeScript / GCP stack. Design schemas, queues, and webhook ingestion from BWC vendors, RMS/CAD, and DEMS to drive real‑time, personalized officer workflows.
• ML integration surface: Productionize CV / VLM / ASR endpoints from our ML team and expose them through resilient APIs with strict latency/error budgets.
• Evidence UX: Build intuitive dashboards that let officers review, redact, and approve reports with minimal clicks—while preserving full auditability.
• Security & compliance: Enforce end‑to‑end encryption, audit logging, role‑based access, and CJIS controls across services.
• System design & technical strategy: Decide how we scale to dozens of agencies, each with unique policies and templates, without sacrificing speed.

Technology

We've built multi‑modal machine‑learning pipelines — CV, VLMs, and automatic speech recognition models built inPyTorch andTensorFlow — that detect objects, track scenes, caption footage and transcribe audio with sub‑second latency.

We’re building a multimodal system that can contextualize any law‑enforcement data source in real time.

San Francisco, CA, US / Remote (US) Full-time $100K - $250K 0.25% - 1.00% 3+ years