About Vital Lyfe
Vital Lyfe is a tech company redefining water autonomy through innovation, creating a new category of personal water making technology built to scale where infrastructure can’t.
The Mission
We’re looking for a Software Engineer to help build the software behind a high-demand consumer hardware product. We’re spinning up manufacturing from scratch, scaling fast, and the software you work on will directly affect how we build, track, and deliver thousands of units.
This is the first full-time hire on our software team. You’ll work directly with our Head of Software, take ownership of a substantial area of our backend and data systems, and contribute across the tools and infrastructure that power our operations and help us scale.
What You’ll Do
- Build and maintain data pipelines that bring test and production data off the manufacturing line, validate and store it, and turn it into views our teams use to track yield and failures
- Build, extend, and maintain backend services and system integrations on our established cloud platform, keeping data reliable across the company
- Own what you build end to end: design, test, ship, debug, and keep it running in production
- Help shape design and implementation decisions that advance our technical roadmap
- Build and improve internal tools that give our engineering and operations teams real-time visibility into production and manufacturing workflows
- Contribute across the rest of our software, including our manufacturing execution system (MES) and the handheld app our floor teams use
Our stack includes TypeScript, Python, React, and AWS.
What We’re Looking For
- Bachelor’s degree in Computer Science or a related field, or equivalent experience
- 2-4+ years building software professionally
- Experience building and maintaining backend services or APIs in production
- Strong programming fundamentals and comfort learning new systems quickly
- Deep experience with at least one modern language, such as Python or TypeScript
- Working knowledge of SQL and structured data
- Comfortable in a codebase you didn’t write, and able to debug problems on your own
- Practical and curious, with a habit of taking ownership and following through
