• Enable end-to-end customer-facing Digital Experience platform, including authentication, the API gateway, the unified data layer, fraud and identity, and the application layer on top. • Shape an outcome-based delivery model for the Digital Experience Center of Excellence: tie engineering investment to measurable customer and business outcomes, validate impact after launch, and prioritize platform work by the outcomes it unlocks. • Set technical direction, patterns, and engineering standards for the Digital Experience Center of Excellence, including coordination with the Senior Software Engineer leading our internal Experience Center build. • Lead the hardest design work, and personally own the most critical and complex systems. • Stay hands-on as an individual contributor: write, review, and ship production code; pair with engineers across both pillars; lead incident response on the most consequential systems. • Partner with our Enterprise Solution Architects on enterprise-level architecture decisions (auth and identity, API and integration strategy, data architecture, fraud, vendor selection) and represent Digital Experience engineering in those conversations. • Architect integrations with our core policy administration systems, our fraud and identity providers, our internal generative AI platform, and our identity providers. • Drive adoption of AI-assisted coding tools (Cursor, Claude Code, Codex) at the team and Center of Excellence level, including the patterns, guardrails, and reviews that make AI-assisted development safe and productive in regulated software. • Mentor Software Engineers across both the Digital Experience and the Experience Center pillars, and act as the technical career model for our IC track. • Establish performance, reliability, security, and accessibility targets for the platform, and own the engineering practice that keeps us within them. • Identify, prioritize, and act on technical debt, platform reuse, and developer productivity work that compound team velocity over time. • Communicate technical decisions, tradeoffs, and risk clearly to engineering leadership, product partners, and senior business and technology stakeholders.

• Lead the Experience Center build end to end, from problem framing and architecture through production deployment and operations. • Drive outcome-based delivery for the Experience Center: partner with product to define the customer and business outcomes that matter, validate impact after launch, and prioritize work by the outcome it enables, not the features it ships. • Set technical direction and patterns for the Experience Center stack, in close coordination with the Staff Software Engineer leading the customer-facing Digital Experience track. • Personally write, review, and ship production code daily, especially during the foundational phase of the build. • Architect integrations with our internal generative AI platform, Salesforce, our core policy administration systems, and our telephony and CTI layer. • Establish and enforce engineering standards for the Experience Center: code review, testing, CI/CD, security, performance, accessibility. • Mentor and coach Software Engineers on the Experience Center team, and raise the team’s collective technical capability. • Champion AI-assisted coding tools (Cursor, Claude Code, Codex) and define the patterns that make them work in production. • Partner with UX, AI Engineering, automation, the Data Platform team, and the Service Excellence and Experience product team. • Lead incident response and post-incident review for the systems you own. • Maintain solution design documents, architecture decision records, runbooks, and onboarding material that scale the team’s knowledge.

• Design and build an API-first full-stack platform connecting employers, employees, and payroll systems • Own integrations with payroll and HRIS providers — authorization flows, data sync, and deduction management • Build employee-facing enrollment flows and employer-facing campaign and dashboard tooling • Design reliable background job pipelines with status tracking, retry logic, and error handling • Handle sensitive employee and financial data with appropriate security practices • Make sound architecture decisions under ambiguity, balancing speed with long-term extensibility

• Identify root causes of technical issues • Respond to production issues • Configure programs and data flows between EnergyHub and our OEM or Utility partners • Configure and update data attributes when no UI is available • Build dashboards on top of our data warehouse to answer questions or give the team insight into high-value opportunities • Identify and implement technical solutions to mitigate or correct known issues • Debug reported issues by looking at logs, data and code (most often in Java, sometimes in Python and occasionally TypeScript) • Contribute bug-fix PR’s to the codebase • Create, update, and maintain Python scripts for data migrations, data cleanup, or process improvements • Other duties as assigned