Staff Software Engineer

Who We Are 

Arcadia is the AI-powered energy intelligence platform for businesses. We replace fragmented tools and manual workflows with one platform to pay utility bills, buy energy, and advance sustainability — across every location, at enterprise scale.

Trusted by Fortune 2000 companies, Arcadia combines unified data, AI-powered analytics, and expert advisory to help enterprise teams save money, mitigate risk, and cut carbon.

We deliver this through three comprehensive solutions:

• Utility Bill Management: Automating the entire utility bill lifecycle — from data capture and validation to payment processing and auditing.
• Energy Procurement Advisory: Bringing together comprehensive data, AI-powered analytics, market expertise, and a strong partner network to make sophisticated procurement options accessible to all. .
• Sustainability Reporting — Verified emissions data with seamless integration into leading sustainability platforms.

Tackling the world’s most complex energy challenges requires diverse thinking. We’re building teams of people from different backgrounds, industries, and disciplines — united by a belief that energy management should be simple, intelligent, and a genuine driver of business value.

What we’re looking for:

We are seeking a Staff Engineer for our Energy Analytics Squad to build web API and data pipeline solutions integrated within the larger Arcadia Platform data ecosystem. The Energy Analytics group builds electricity cost modeling products and mathematical battery performance simulations that calculate the ROI for DER interventions like solar and storage, providing the economic insights necessary to show that clean energy technologies are the most cost-effective options for tackling the climate crisis. Our core expertise requires defining calculations and optimizations against esoteric and often fuzzy data.

You will approach your work with a collaborative and exploratory mindset, attention to detail, and a proven ability to wrangle stakeholders across squads. Demonstrated experience executing on collaborative software engineering projects in an industry requiring deep domain knowledge. Requirements synthesis and clarity of communication is important: the ideal candidate will have demonstrated ownership of modules developed in collaboration with Subject Matter Experts.

What you’ll do:

• Make meaningful contributions to the industry-leading electricity cost modeling RESTful API
• Build out DBT data pipelines that simulate electricity costs nationwide
• Translate product and SME requirements into engineering-ready designs, specifications, and implementation plans
• Participate in peer technical design review sessions to ensure efficient and maintainable code
• Improve squad and organization-level engineering processes and establish best practices
• Work with fully remote teams

Must Haves:

• Bachelor’s degree in Computer Science or related field required
• 6+ years of software development experience at a SaaS or technology company
• Experience building REST API’s
• Experience with Python and enterprise Java (Spring, Spring Boot preferred)
• Experience building SQL data pipelines (Snowflake + DBT preferred)
• Deployed systems on AWS or similar
• Strategic AI Expertise: Demonstrated experience of adoption and implementation of LLMs
• Demonstrated ability to impart organizational-level impact
• Experience with a Python data science ecosystem (Jupyter, Pandas, Streamlit, etc.)
• Experience with NoSQL databases (Mongo preferred)

The preferred candidate will also demonstrate:

• Experience designing, operating, and troubleshooting large web API systems at scale (your metrics should be measured with an M, G, or T)
• Experience working in the energy or similar industry requiring deep domain knowledge
• Experience working with Kubernetes and containerized platforms (Argo orchestration preferred)
• Front-end experience in React