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