Founding Full-Stack Engineer

Dryft10 months ago
San Francisco, CA, United States
On-site
Full-time
Junior Level (1-3 years)

Job Description

Position Overview

DRYFT builds intelligent systems that automate complex human decisions in manufacturing operations. We are a small, talent‐dense team passionate about the physical world – cars, machines, and planes – and are backed by leaders from Amazon, Facebook, Stripe, Applied Intuition, and more. Today, we are already saving customers millions and powering the next generation of ERP systems.

Key Responsibilities

  • Build scalable systems that combine agent‐based reasoning with mathematical optimization and simulation on large‐scale industrial data.
  • Collaborate directly with customers to refine product requirements and drive impactful solutions.
  • Work across backend, frontend, and infrastructure as a founding member of the engineering team.

Required Qualifications

  • Passion for building scalable, interpretable, data‐driven agents from all perspectives – algorithms, architecture, and infrastructure.
  • Strong product sense with hands-on customer interaction.
  • Proven experience shipping production code end-to-end, with expertise in backend and infrastructure, alongside basic frontend development.
  • Demonstrated background in building data-intensive, multi-tenant production systems using technologies like Redis and Postgres.
  • Willingness and readiness to work onsite in SF.

Preferred Qualifications

  • Experience with Clickhouse is a plus.
  • Familiarity with front-end technologies such as React, Chakra UI v3, TypeScript (with TanStack Router and TanStack Query) and build tools like Vite.
  • Experience with backend frameworks including FastAPI, Pydantic v2, SQLModel, and orchestration tools like Dagster.

Benefits & Perks

  • Relocation & Visa Support for candidates moving to SF.
  • Competitive Compensation package.
  • Opportunity to join a dynamic, small team backed by industry leaders and innovators.

Required Skills

Chakra UI v3
Multi-tenant production systems
SQLModel
React
Scalable architecture
Postgres
FastAPI
TypeScript
Python
Data-driven system design
Redis
pgvector