Founding Full-Stack Engineer (Python / Django / Go / React)

Weekday; New York (NY); On-site; USD 100,000 - 150,000; Full time

Job summary

A dynamic startup in New York is seeking an early hire/founding engineer to design and build core systems powering their product. The ideal candidate will have strong Python or Go skills along with solid React experience. Responsibilities include architecting backend services, building scalable APIs, and working directly with founders on technical strategies. This role promises exciting challenges and the opportunity to shape the future of the product in a fast-paced environment.

Qualifications

• 3–10 years of experience in software engineering.
• Proven experience with cloud-native technologies.
• Strong problem-solving skills and a startup mindset.

Responsibilities

• Architect backend services and distributed systems.
• Build scalable APIs and async workflows.
• Work directly with founders on technical direction.

Skills

Strong Python (Django/FastAPI)

Solid React experience

Proven production system design

Cloud-native on AWS

Tools

Kafka

Postgres

DynamoDB

Terraform

Kubernetes

Job description

Overview

Location: San Francisco (On-site)

Experience: 3–10 years

Stage: Seed → Series B

Role Type: Early hire / founding engineer

Why This Role Exists

You’ll design and build the systems that power the product — from APIs and data models to real-time pipelines and secure infrastructure. You’ll be a core technical owner working directly with the founders.

What You’ll Do

• Architect backend services and distributed systems
• Build scalable APIs and async workflows
• Ship full-stack features when needed
• Own performance, reliability, and security
• Work directly with founders on technical direction
• Set engineering standards and tooling
• Leverage AI developer tools to accelerate delivery

What We’re Looking For

• Strong Python (Django/FastAPI) or Go
• Solid React experience
• Proven production system design
• Cloud-native on AWS
• Startup mindset and comfort with ambiguity

Nice to Have

• Kafka / message queues
• Postgres / DynamoDB
• Terraform / Kubernetes
• Regulated environments (healthcare / fintech)
• LLM integrations, AI observability, or internal AI tooling