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Vital Lyfe is a climate-tech company building personal water-making technology to scale where infrastructure cannot reach. You'll be the first full-time software engineer on a new team, working directly with the Head of Software to own substantial backend and data systems that power manufacturing, operations, and product delivery.
You'll build and maintain data pipelines that capture test and production data from the manufacturing line, validate and store it, and create views for teams to track yield and failures. You'll build, extend, and maintain backend services and system integrations on AWS, ensuring data reliability across the company. You'll own your work end-to-end: design, test, ship, debug, and maintain in production.
You'll help shape technical roadmap decisions, build internal tools that give engineering and operations teams real-time visibility into production and manufacturing workflows, and contribute across the software stack including the manufacturing execution system (MES) and handheld floor app. The tech stack includes TypeScript, Python, React, and AWS.
This is an early-stage, high-growth startup where you'll have significant ownership and influence on how the software team operates. You'll work at the intersection of software and hardware, helping scale breakthrough technology in water security and climate resilience.
REQUIREMENTS:
- Bachelor's degree in Computer Science or related field, or equivalent professional experience
- 2 to 4 years building software professionally
- Experience building and maintaining backend services or APIs in production
- Strong programming fundamentals and ability to learn new systems quickly
- Deep experience with at least one modern language (Python or TypeScript)
- Working knowledge of SQL and structured data
- Comfortable debugging in codebases you didn't write
- Practical, curious mindset with ownership mentality
- Ability to break down problems, work through them, and know when to ask for help
- Excited about software-hardware intersection
PREFERRED:
- Experience building data pipelines, including validating and cleaning real-world data
- Background building user-facing interfaces with React or similar
- Experience with dashboards or data visualization tools
- AWS experience, especially serverless and infrastructure as code
- Experience with ERP, MES, or manufacturing systems
- Interest in manufacturing, hardware-software integration, or IoT
