Full-stack Software Engineer (Remote or SF)
almost 2 years ago
Full time role
Remote · San Francisco, CA, US
Remote · San Francisco, CA, US
Job Description
Lumen Energy is automating clean energy deployment.
To start, we’re making getting a fully-financed clean energy system for a commercial building as easy as applying for a credit card. The scope of the opportunity is massive: out of 6 million commercial buildings in the US which are responsible for 16% of all greenhouse gas emissions, most of which could save money with solar, fewer than 4% have solar systems today.
We make clean energy widely accessible by abstracting away the complexity of an underlying marketplace of installers, financiers and confusing electrical jargon. Our challenge is to parse massive datasets, deploy advanced models behind the scenes, pre-package financing, all so that we can deliver simple, delightful, and actionable offers to our customers.
Once the decision has been made to go solar, we support our customers with software tools that help manage the processes of securing financing, evaluating bids and selecting a contractor and finally, managing a live solar deployment.
Who We Are
We are a small team of scientists, engineers, designers and entrepreneurs committed to powering our world with clean energy. We build on experience at Stripe, Google X, Shopify, and US national labs. While we're early in our journey, we are live with customers, funded by exceptional investors (soon to be announced), and looking to bring on a core team member who can help us expand our impact.
We are a remote-first company, but get together regularly in San Francisco and are looking for teammates who work within 3 time zones of Pacific Time.
We are proud to be an equal opportunity workplace committed to building a team culture that celebrates diversity and inclusion.
To start, we’re making getting a fully-financed clean energy system for a commercial building as easy as applying for a credit card. The scope of the opportunity is massive: out of 6 million commercial buildings in the US which are responsible for 16% of all greenhouse gas emissions, most of which could save money with solar, fewer than 4% have solar systems today.
We make clean energy widely accessible by abstracting away the complexity of an underlying marketplace of installers, financiers and confusing electrical jargon. Our challenge is to parse massive datasets, deploy advanced models behind the scenes, pre-package financing, all so that we can deliver simple, delightful, and actionable offers to our customers.
Once the decision has been made to go solar, we support our customers with software tools that help manage the processes of securing financing, evaluating bids and selecting a contractor and finally, managing a live solar deployment.
Who We Are
We are a small team of scientists, engineers, designers and entrepreneurs committed to powering our world with clean energy. We build on experience at Stripe, Google X, Shopify, and US national labs. While we're early in our journey, we are live with customers, funded by exceptional investors (soon to be announced), and looking to bring on a core team member who can help us expand our impact.
We are a remote-first company, but get together regularly in San Francisco and are looking for teammates who work within 3 time zones of Pacific Time.
Responsibilities
- Helping to build the engine that allows us to automatically evaluate the economic potential of a building for on-site energy
- Collaborating with data scientists at Lumen and national laboratories to implement data models to predict energy use, utility costs, building characteristics, and potential savings
- Integrating with an emerging suite of software tools and APIs to further our modeling capabilities
- Building out our multi-sided user-facing platform for building owners, tenants, installers and financiers to orchestrate a complicated process with intuitive software
- Technologies you'll be using: Python, Flask, Javascript, React, NextJS, GraphQL, Google App Engine/Google Cloud Platform
Your Experience
- 5+ years building full-stack web applications and comfortable building in Python
- Ready to take on a high level of responsibility as part of a small team that moves quickly.
- While you understand how to build systems that scale you also understand the tradeoff between technical debt and speed, and are comfortable making informed decisions.
- Experience managing data pipelines and deploying ML models
- Comfort with Docker and managing CI pipelines
- Familiarity with GIS tools and techniques
Nice to haves
We are proud to be an equal opportunity workplace committed to building a team culture that celebrates diversity and inclusion.
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