Front-End Engineer (Senior/ Staff)
Equilibrium EnergySF Bay Area or NYC Preferred, Remote- US, Canada, EuropePosted 27 March 2026
Tech Stack
Job Description
About our Company
Equilibrium Energy is a team of technologists, power market experts, and AI pioneers reimagining how the world’s most critical industry operates. We’re building a first-of-its-kind AI operating system for the power sector, uniting cutting-edge science with real-world purpose to enable a cleaner, more resilient energy future. At EQ, you’ll join a tight-knit group of brilliant, curious, and adventurous people who bring the same energy to collaboration as they do to innovation.
Equilibrium Energy is a well-funded, Series B clean energy startup backed by some of the most prominent institutional investors in climate.
New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise combined with an unwavering commitment to modern digital approaches.
We’re looking for collaborative, talented, passionate and resourceful folks to join our team and help us lay the foundation for our important mission and ambitious plan.
What we are looking for
The power sector is undergoing its biggest transformation in a century, and legacy tools were not made to handle this level of complexity. Equilibrium is building a new kind of power company that can work with an increasingly intricate energy mix, manage large fleets of resources, and integrate algorithmic and human decision-making with sophisticated insights coming from every part of the stack. We are looking for an experienced Frontend or Full-Stack Engineer to shape and scale this vision, creating the intelligent backbone to power a resilient grid.
What you will do
As a Senior/Staff Engineer at Equilibrium, you will be instrumental in shaping the future of energy software.
You’ll participate in critical frontend architecture decisions and strategic initiatives, shaping the experience for both internal customers and large power companies. We are building a deeply interconnected ecosystem of front end applications within a complex domain, creating software that enables both powerful automation and human agency. You’ll need to navigate complex, ambiguous problem spaces and translate intricate domain requirements into elegant, scalable UIs.
In short: there will be many opportunities for your expertise to shine.
The minimum qualifications you'll need
A commitment to clean energy and combating climate change.
Experience with frontend/full-stack engineering, ideally at scale, including development and ownership of complex, data-intensive applications, and large-scale Typescript/React codebases.
Collaboration-driven mentality: work closely with product managers, designers, backend engineers, and data scientists to deliver cohesive user experiences. The strongest candidates will have experience working across domains and contributing to technical discussions beyond their focus area.
Demonstrable experience designing and implementing frontend strategies for effectively consuming, visualizing, and interacting with large, complex datasets, including understanding the underlying data models and APIs.
Proficient in AI-augmented software engineering (e.g. Gen AI and LLMs, agentic tools, Cursor, Claude Code, etc.)
Good understanding of security best practices, bonus points if it’s in an enterprise environment.
Deep expertise with modern testing strategies for frontend applications, including unit, functional, and end-to-end testing frameworks (e.g. Testing Library, Cypress, and Playwright).
Strong communication skills for collaborating within a remote-first company that spans all time zones across EU and the Americas.
Nice to have additional skills
Background in the energy and power systems sector.
Proficiency in Python, with FastAPI being an additional plus.
Experience with React Context and Zustand
Experience with Tanstack Table and Query
Experience with Recharts, D3, or Plotly.js
Experience with Auth0 to drive user authentication and authorization.
Experience with observability and error-tracki ... (truncated, view full listing at source)
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