Full Stack Software Engineer – Manufacturing Test Automation

VAST Data•Campbell, CA

11d

About The Position

We are seeking a talented Full Stack Software Engineer to join our Manufacturing Test Automation team. In this role, you will design, develop, and scale the software ecosystem that powers our production lines. You will bridge the gap between physical test stations and enterprise systems by building robust Python backend services and intuitive React frontend applications. Your work will directly impact product quality, optimize factory throughput, and provide real-time manufacturing insights.

Requirements

Advanced Python Skills: Strong professional experience writing clean, maintainable, and efficient Python code.
Web Frameworks: Production experience with modern Python web frameworks such as JQuery, FastAPI, Flask, or Django.
Database Management: Proficiency with relational databases such as PostgreSQL.
API Design: Deep understanding of RESTful API design, serialization, and asynchronous programming in Python.
React Ecosystem: Strong experience with React.js (including Hooks, state management like Redux/Context API, and TypeScript).
Data Visualization: Experience building real-time dashboards and complex data visualizations using libraries like Graphana or Tableau.
UI/UX: Ability to build clean, intuitive UI components from scratch or using frameworks like Javascript and React (Material-UI (MUI) or Tailwind CSS).
Strong proficiency with version control (Git).
Experience with Docker type containerization for deploying full-stack apps locally at the factory edge or to the cloud.
Familiarity with CI/CD tools (e.g., GitLab CI, GitHub Actions) for automated testing and deployment.
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field (or equivalent practical experience).
5+ years of professional full-stack software development experience with a heavy focus on the Python/React ecosystem.

Nice To Haves

Experience with Python testing frameworks (e.g., PyTest).
Exposure to manufacturing environments, hardware testing, or interacting with physical lab equipment/instruments.
Understanding of Statistical Process Control (SPC) or data analytics pipelines.

Responsibilities

Design, build, and maintain scalable web applications and microservices using Python (Django) and React.
Create responsive, high-performance user interfaces, real-time dashboards, and configuration tools that simplify complex manufacturing workflows for operators and engineers.
Develop robust Python backend services to handle high-throughput, parametric data streams from devices under test.
Design and optimize database schemas for logging large volumes of test data.
Integrate factory-floor software with internal manufacturing execution systems (MES) and hardware test stations via REST APIs, gRPC, or other protocols.
Maintain and improve CI/CD pipelines for deploying software to local factory edge servers or cloud infrastructure.
Partner with Hardware Test Engineers and Manufacturing Teams to translate physical testing requirements into clean, maintainable software solutions.