AI-Driven Security & IT Full-Stack Engineer

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 187,000 - 360,000; Full time

Job summary

TikTok USDS Joint Venture LLC is building secure, scalable AI-enabled agent systems. This role focuses on full-stack engineering—from React frontends to Python/Go backends and Kubernetes infrastructure—within a Tiger Team.

Expect a fast-paced, security-minded environment with high-impact projects and strong emphasis on reliability and observability. On-site collaboration is emphasized, with a shift to in-person work; candidate should be prepared for an in-office schedule.

Qualifications

• 5+ years of software development focusing on backend systems.
• Bachelor’s degree in CS/Engineering or equivalent practical experience.
• Proficiency in Python and JavaScript for full-stack development.
• Ability to work collaboratively and drive technical initiatives independently.

Responsibilities

• Own the full stack from React frontend to Python/Go backend and Kubernetes infra.
• Design RESTful APIs and GraphQL schemas with considerations for idempotency and auth.
• Develop scalable distributed systems with microservices and message queues.
• Implement observability with Prometheus, Grafana, Datadog and Sentry.

Skills

Python

REST APIs

GraphQL

Distributed Systems

Docker

Kubernetes

React

LangChain

LangGraph

OpenAI API

Anthropic API

Pinecone

Redis

PostgreSQL

MongoDB

Education

Bachelor's degree in CS/Engineering

Equivalent practical experience

Tools

Docker

Kubernetes

GitHub Actions

GitLab CI

Prometheus

Grafana

Datadog

Sentry

LangChain

LangGraph

OpenAI API

Anthropic API

Pinecone

Weaviate

Milvus

Redis

MongoDB

PostgreSQL

MySQL

React

Next.js

Job description

TikTok USDS Joint Venture LLC is building secure, scalable AI-enabled agent systems. This role focuses on full-stack engineering—from React frontends to Python/Go backends and Kubernetes infrastructure—within a Tiger Team.

Expect a fast-paced, security-minded environment with high-impact projects and strong emphasis on reliability and observability. On-site collaboration is emphasized, with a shift to in-person work; candidate should be prepared for an in-office schedule.