Full-Stack Engineer: IIoT & Industrial Systems

EDISON WELDING INSTITUTE INC; Buffalo (NY); Remote; USD 110,000 - 150,000; Full time

Job summary

Edison Welding Institute Inc, based in Buffalo, NY, is seeking an experienced full stack software engineer to design, build, and own software systems for advanced manufacturing platforms. You will work on systems involving industrial networking and IIoT, influencing architectural decisions and delivering robust, scalable software.

The Data Science group accelerates innovation across 3D printing, robotics, ultrasonics, and lasers, focusing on digital threads and in-line sensing to predict

Qualifications

• Full stack development experience with backend services, APIs, and data pipelines.
• Experience designing software architecture for non-trivial systems and defending those choices.
• Practical experience with containerization and CI/CD pipelines.

Responsibilities

• Build full stack applications end-to-end from backend services to front-end interfaces.
• Design and evolve software architecture for systems integrating sensors, controllers, and industrial equipment.
• Build and maintain containerized services and CI/CD pipelines.
• Contribute to architectural decisions and communicate trade-offs.
• Collaborate with process experts and engineers to translate requirements into robust software.
• Establish and uphold engineering best practices: code review, testing, and documentation.
• Mentor engineers and communicate architectural intent clearly.

Skills

Full stack engineering

Python

FastAPI

React

APIs

Docker

Kubernetes

CI/CD

AI agents

Communication

Education

B.S. in Computer Science or related discipline

Tools

SQL/NoSQL databases

Job description

Edison Welding Institute Inc, based in Buffalo, NY, is seeking an experienced full stack software engineer to design, build, and own software systems for advanced manufacturing platforms. You will work on systems involving industrial networking and IIoT, influencing architectural decisions and delivering robust, scalable software.

The Data Science group accelerates innovation across 3D printing, robotics, ultrasonics, and lasers, focusing on digital threads and in-line sensing to predict