FULL STACK ENGINEER

Up Top; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Up Top in San Francisco is looking for an early fullstack engineer to build and scale the data-capture workflows and high-throughput pipelines behind our AI training-data platform — spanning a Next.js web app and Python desktop tooling.

Join the founding team to shape product strategy, ship features fast, and establish engineering best practices as the team grows. This in-person role will have a meaningful impact on core infra and data flows in a venture-backed environment.

Qualifications

• Experience with serverless architecture and cloud functions for heavy data processing (GCP/AWS).
• Hands-on with Redis (caching), Elasticsearch (indexing), and message queues (Kafka/RabbitMQ) for scalable, low-latency pipelines.
• Experience getting your ideas into production (founder experience preferred).

Responsibilities

• Build and scale complex data-capturing workflows across web (Next.js) and desktop (Python).
• Architect and optimize high-throughput data pipelines under heavy load.
• Collaborate with the founding team to define product strategy and ship features fast.
• Set engineering best practices and lay the groundwork for future team growth.

Skills

Serverless architecture

Cloud functions

Production experience

Founder experience preferred

Tools

Next.js

Python

Redis

Elasticsearch

Kafka

RabbitMQ

GCP/AWS

Job description

A venture-backed, high-growth AI training-data company. It builds expert human data, evaluation systems, and reinforcement-learning environments used to train and benchmark the world's leading AI models. Small, fast-moving team working in person in San Francisco.

ABOUT THE ROLE

An early fullstack engineer building and scaling the data-capture workflows and high-throughput pipelines behind the company's training-data platform — across a Next.js web app and Python desktop tooling.

WHAT YOU'LL DO

• Build and scale complex data-capturing workflows across web (Next.js) and desktop (Python).
• Architect and optimize high-throughput data pipelines under heavy load.
• Collaborate with the founding team to define product strategy and ship features fast.
• Set engineering best practices and lay the groundwork for future team growth.

WHAT WE'RE LOOKING FOR

• Experience with serverless architecture and cloud functions for heavy data processing (GCP/AWS).
• Hands-on with Redis (caching), Elasticsearch (indexing), and message queues (Kafka/RabbitMQ) for scalable, low-latency pipelines.
• Experience getting your ideas into production (founder experience preferred).