Arbor is looking to solve the problem of helping renters, homeowners, and small businesses pay less for electricity by building an intelligent electricity marketplace to power an abundant electric future.
Requirements
5+ years of backend engineering experience with production systems at scale
Strong JavaScript/TypeScript expertise: Node.js for backend services, familiarity with Nest.js a plus
Hands-on experience managing cloud environments including serverless and event driven systems built on native cloud tooling (GCP experience preferred)
Terraform proficiency for infrastructure-as-code; you've managed real cloud environments, not just tutorials
Comfort with databases (SQL, ideally Postgres), API design, and async processing patterns
AI fluency: you actively use AI coding tools and are eager to push the boundaries of AI-augmented development
Bias toward shipping; you thrive in environments with ambiguity and move fast without sacrificing quality
Responsibilities
Design and build scalable backend services that power our core marketplace platform
Develop and maintain cloud infrastructure on GCP using Terraform, ensuring reliability and cost efficiency as we scale
Build integrations with utility data sources, supplier APIs, and third-party services across multiple energy markets
Create robust data pipelines for real-time rate monitoring and market intelligence
Partner with product and cross-functional partners to translate system and supplier needs into high-performing, resilient experiences. Take product ownership on select features and projects when necessary
Collaborate closely with a small team where your code ships fast (multiple daily prod deploys) and your architectural decisions matter
Leverage AI tools and workflows and uplevel the team around you
Other
Interest in energy, climate tech, or marketplace products is a strong plus
Competitive salary + meaningful equity + benefits
Remote-friendly with occasional in-person collaboration as needed
5+ years of experience
Ability to work in a fast-paced environment with ambiguity
