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United States
Paces Looking for Software Engineer (Full-Stack) at Brooklyn, NY Full Time
In the next 30 years, the world will transform every part of the built environment to be climate positive green infrastructure. Knowing what, where, and how to build infrastructure like solar farms is one of the great opportunities of our time.
Paces is software for green infrastructure developers to identify the best places to build and manage their projects. Our software supports renewable energy, EV charging, carbon sequestration and data center customers with interconnection, permitting and siting of their projects. We are venture backed from Navitas Capital, Resolute Ventures, Y Combinator, and other top tier VCs.
🌳 TL;DR
We are looking for a scrappy and customer centric full-stack engineer to join us as we scale up. You will have the chance to build things from ground up and own a large portion of the tech stack.
🏆 What You’ll Achieve
- Lead development on large scale projects, collaborate closely with the product and engineering team
- Optimize speed and scalability of our data heavy platform
- Conduct user researches, iterate with users, improve user experience and identify new opportunities
- Collaborate closely with our CTO and team to directly impact product roadmap
📈 Requirements
- Proficient with React, JavaScript / TypesScript
- Proficient with Python
- You are a proactive and fast learner and able to pick up new things quickly
- You genuinely want to build something people want, enjoy talking to users and learning their needs
✨ About You
You will thrive in our culture if you:
- Have a strong bias towards action and prioritize execution
- Share our passion to build something that fights climate change
- Easily handle the unstructured environment of fast moving startups
- Have the hunger to grow together with Paces as we scale up
🚀 Bonus Points
- Previous experience at a high-growth, fast-paced startup
- Previous experience with map frameworks, such as Leaflet.js, Mapbox, and Google Maps
- Previous experience scaling up data intensive, AI and analytics heavy solutions
- Previous experience building and deploying on AWS
💰 Compensation And Benefits
- 130K – 200K annual compensation
- Competitive equity compensation
- 401(k) matching
- Health, Dental and Vision insurance
- Hybrid working in the office 2-4 times per week
