Senior Fullstack Engineer

Yes Energy•Boulder, CO

2d•Hybrid

About The Position

Join the Market Leader in Electric Power Data and Analytics Solutions. The electrical grid is the largest and most complicated machine ever built. Yes Energy’s industry-leading electric power trading analytics software provides real-time visibility into the massive amount of data generated by the North American electrical grid daily. Our unique and innovative view of the data informs real-time trading decisions and mid-to-long-term investment decisions that keep utility prices low, support the energy transition, and keep the grid running. It’s both challenging work and work with a purpose. Be a part of our successful, growing business during international transformation. We're looking for a Senior Full Stack Engineer with deep back-end expertise to help shape the architecture of our next-generation energy market platform. This role combines hands-on development with technical leadership across settlement processing, bid submission, market workflows, and platform APIs. The majority of development is back-end focused, with front-end work serving as a secondary responsibility.

Requirements

7+ years of software engineering experience.
Strong expertise in C#/.NET.
Experience designing distributed systems and APIs.
Deep SQL Server expertise.
Working knowledge of JavaScript.
Experience leading technical design and architecture.
Strong communication and mentoring skills.

Nice To Haves

Experience with energy markets, settlements, or trading platforms.
Experience modernizing enterprise applications.
Experience with cloud-native architectures.
Experience incorporating AI-assisted development into engineering workflows.

Responsibilities

Design architecture for scalable platform services.
Lead implementation of back-end systems in C#/.NET.
Define API and service design patterns.
Guide database architecture and performance optimization.
Mentor engineers through design reviews and technical coaching.
Contribute to JavaScript front-end development when appropriate.
Drive engineering best practices, testing, and operational excellence.
Partner with Product and Engineering leadership on technical direction.
Leverage AI-assisted development tools to improve engineering velocity and quality.