Production Software Engineer

Chaos Industries; Los Angeles (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Chaos Industries in Los Angeles is seeking a senior software engineer to design, build, and own data services that pull data from dispersed production sources, organize it into a cohesive system, and make it usable across the factory.

You will work across manufacturing areas, talk to machines and systems on different networks, and turn one-off operational asks into durable software that other teams can actually use.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or equivalent hands‑on experience.
• 5+ years of professional software engineering experience.
• Hands‑on experience deploying software in cloud environments (Azure or AWS).

Responsibilities

• Design, build, and own Python services for data ingestion and consolidation across shop floor systems.
• Integrate manufacturing software with MES/ERP/QMS/PLM ecosystems.
• Create reusable tools with clear interfaces and documentation to drive adoption.
• Containerize services with Docker and deploy in cloud environments.

Skills

Python

Data modeling

System integration

Cross-functional collaboration

CI/CD

Education

Bachelor's degree in CS/CE/SE

Tools

Docker

Azure

AWS

Job description

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats.

CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, and London. For more information, please visit www.chaosinc.com .

Role Overview:

• Design, build, and own the tools and services that pull data from dispersed production sources, organize it into a cohesive system, and make it usable across the factory.
• Work across manufacturing areas, talking to machines and systems on different networks.
• Turn one-off operational asks into durable software other people can actually use.
• Write Python services against the existing codebase, deploy them in containers, and help set engineering practices for a growing manufacturing software team.
• Operate as a high-ownership, on-site engineer in Los Angeles, CA, partnering closely with Manufacturing, Quality, Supply Chain, Engineering, and IT.

Responsibilities:

Data Services & Systems Integration

• Design and build Python services that ingest, organize, and store manufacturing data from dispersed shop‑floor, test, and enterprise sources in mixed formats, then present it as a coherent system others can rely on.
• Integrate manufacturing software with the broader systems ecosystem (MES, ERP, QMS, PLM, and data platforms) so production data is trustworthy, queryable, and usable end to end.

Tooling & Adoption

• Turn ad‑hoc production and operations requests into reusable tools with clear interfaces, documentation, and a path to adoption — not one‑off scripts.
• Design systems that can scale with production growth and are straightforward for operators, technicians, and engineers to adopt.

Factory Networks & Device Connectivity

• Write software that communicates with devices and services across factory networks, including multiple subnets and VLANs.
• Debug connectivity, routing, and interface issues when they arise.

Infrastructure & Deployment

• Containerize services with Docker (or equivalent), run your own code in containers, and integrate with software already running in containerized environments.
• Deploy and operate services in a major cloud environment (Azure, AWS, or equivalent), including the networking, storage, and runtime pieces those systems depend on.

Engineering Practice & Cross‑Functional Partnership

• Establish practical engineering standards for the manufacturing software team: system design, code quality, CI/CD, and maintainability.
• Partner with manufacturing, quality, and production engineering to understand how data is generated on the floor and how it should flow into downstream tools.
• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related STEM field, or equivalent hands‑on experience.
• 5+ years of professional software engineering experience, with a track record of owning systems end to end.
• Hands‑on experience building and operating software in a major cloud environment (Azure, AWS, or equivalent).