Staff Front End Software Engineer, Tapestry

About the role

Lead the design and evolution of a highly performant, enterprise grade frontend architecture capable of visualizing massive, real-time geospatial and time-series data sets.

Establish engineering excellence across the organization by defining best practices for state management, testing, and component-driven development.

Define the next generation of Human-AI Interaction for the energy sector. Architect agentic workflows and ML-powered interfaces that move the platform from passive visualization to proactive decision support, allowing users to navigate high-stakes complexity through predictive automation and natural language reasoning.

Partner with AI Research and Power Systems teams to translate complex algorithmic outputs into actionable, streamlined, AI-assisted experiences and radical simplifications for our users.

Influence the multi-year product roadmap, identifying technical risks and opportunities.

Optimize the "Critical Rendering Path" for high-stakes environments, ensuring our tools remain responsive while handling millions of data points via WebGL or Canvas.

Raise the bar for the entire engineering org through deep technical mentorship, code reviews, and fostering a culture of rigorous craftsmanship.

Requirements

10+ years of experience in frontend or fullstack engineering, with a history of leading the technical vision for complex, large-scale platforms.

Proven experience building enterprise applications that leverage Large Language Models (LLMs), agentic frameworks, or predictive ML models.

You understand the nuances of non-deterministic UIs, including handling streaming responses, state management for long-running agentic tasks, and building robust feedback loops.

A deep understanding of next-generation interaction patterns. You have experience moving beyond traditional "point-and-click" dashboards toward intent-based interfaces and generative user interfaces that adapt to user goals in real-time.

Mastery of TypeScript and modern frameworks (React/Angular), paired with a solid grasp of how to interface with shared services and orchestration layers.

The ability to design for the "Human-in-the-loop." You can architect systems where AI suggestions are seamlessly integrated with human expertise, ensuring clarity, trust, and safety in high-stakes energy planning.

A track record of taking "impossible" levels of complexity and distilling them into intuitive workflows that feel effortless to the end user.

Qualifications

Experience with power systems, GIS (Geographic Information Systems), or climate-tech applications.

Familiarity with Kotlin, Java, Python or Go, and the ability to contribute to the backend services that power your frontends.

Experience working in high-growth or "zero-to-one" environments.