💰 $127,000 - $190,000 🌍 New York City, New York, United States 📅 10/20/2022
Apply### **What we 're looking for**
We are looking for a Fullstack Engineer to work on developing and scaling the
Lightning AI platform from the frontend, CLI, and API, to billing, security,
and integrations.
We want someone who can take ownership of key features and drive development
from end to end while collaborating with a super-smart team of engineers,
product managers, and designers. Here, you’ll build from proof of concept to
release with a focus on speed, quality, and iteration.
This is an opportunity to create groundbreaking technology that will transform
the machine learning ecosystem!
### **What you’ll do**
* Write readable/testable/efficient code in React and either Python or Go (Golang).
* Master our technology stack to deliver new features, improve system stability, and increase overall performance.
* Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
* Evaluate, strengthen, and document technical architecture, tools, and processes.
* Champion software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
* Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.
### **How we evaluate your candidacy**
Our interviews will not only give us insight into your skillset but give you
insight into our company.
* **Introduction:** You will speak with our Recruiter about your background and what you are looking for in your next role. They will share some information with you about our team and the projects you will be involved in. If both parties decide that there is a match, we will proceed with a technical interview.
* **Coding:** Our second interview will be a coding interview with a member of the team. We will provide a study guide for each interview, along with instructions on interview logistics.
* **Virtual Onsite:** These interviews will cover your domain expertise, systems architecture and Culture.
* **Offer:** We determine your level based on your interview performance and make an offer based on geo-located salary bands updated on a monthly basis using Carta's Total Compensation tool. During the presentation call, we will review the base salary, benefits, number of options, notional option value, and strike price. We would like to know if you accept our offer within seven days.
* **Compensation:** $120,000 - $250,000 (depending on leveling)
