• Build, maintain, and improve web applications using modern component architecture patterns and the frameworks and languages relevant to your product area • Use agentic development tools (Claude Code, OpenAI Codex, Cursor, and similar) as standard instruments in your workflow — generating, reviewing, and iterating on code through AI-driven workflows) • Collaborate with Product and Design to translate wireframes and user stories into polished, accessible, and performant interfaces • Participate in code reviews, contributing thoughtful feedback and maintaining a high standard for frontend craft • Contribute to CI/CD pipeline configuration using Azure DevOps for frontend build, test, and deployment workflows • Monitor frontend performance and user experience using Azure App Insights and proactively surface and resolve issues • Stay current with frontend ecosystem developments, browser capabilities, and emerging AI/UX patterns

• Optimize load profiles across multiple classes of devices including thermostats, home batteries, and EVs. • Develop and productionize algorithms and models using machine learning and statistical techniques. • Analyze diverse datasets such as device temperature, energy consumption, user interactions, grid carbon emissions, weather, and energy markets to inform product direction and algorithm design. • Show significant ownership of the algorithms team’s software architecture. • Collaborate with Product, Product Design/UX, Operations, and Engineering to define and deliver impactful features. • Design and lead implementation of projects up to ~1 quarter long. • Help clarify ambiguous problems and shape solutions that balance technical feasibility and business needs. • Participate in system design within the Energy Intelligence team. • Work across our stack: Python, PostgreSQL, Prefect, AWS/GCP (CDK, ECS/EKS, RDS, Redshift, S3, etc.), Apache, Git, and Jira. • Uphold high standards in code quality, testing, security, observability, and operational excellence. • Foster a collaborative and efficient engineering culture, reducing complexity and improving development processes.

• Optimize load profiles across multiple classes of devices including thermostats, home batteries, and EVs. • Develop and productionize algorithms and models using machine learning and statistical techniques. • Analyze diverse datasets to inform product direction and algorithm design. • Show significant ownership of the algorithms team’s software architecture. • Collaborate with Product, Product Design/UX, Operations, and Engineering to define and deliver impactful features. • Drive software projects independently over multi-week timeframes. • Provide technical leadership in small engineering groups. • Help clarify ambiguous problems and shape solutions that balance technical feasibility and business needs. • Design, implement, and maintain systems and features, including integration points with other teams and external platforms. • Work across our stack: Python, PostgreSQL, Prefect, AWS/GCP, Apache, Git, and Jira. • Uphold high standards in code quality, testing, security, observability, and operational excellence. • Foster a collaborative and efficient engineering culture, reducing complexity and improving development processes.

• Working closely with peer engineers, product managers, and other stakeholders to understand project requirements and deliver solutions that meet business needs. • Developing new frontend and backend features that help make our customers successful. • Writing backend code in Typescript that is fully unit tested. • Writing frontend code in Svelte, optimizing the frontend codebase for speed, efficiency, maintainability, and scalability. • Moving fast, while taking the time to ship high-quality code.