• Drives the definition and evolution of our architecture using Distributed Domain Driven Design practices. • Acts as the strategy leader for key Architecture Quality Attributes (e.g., Availability, Performance, Scalability, Securibility) to inform architecture assessments. • Provides project-embedded architecture consultation to promote best Practices, design patterns, and informed buy vs. build decisions. • Contributes to the prioritization of platform capability improvements across feature and data platforms. • Enhances the capture and communication of architecture descriptions through automation and innovative tools. • Shepherds platform-wide strategies, including naming, protocol standards, and design patterns, to ensure ongoing value creation. • Communicates complex technical concepts effectively in both written and spoken forms, catering to both technical and non-technical audiences. • Collaborates with stakeholders to build consensus when necessary, ensuring alignment on architectural decisions.

• Develop features at the edge between the frontend and backend • Create and manage data pipelines for processing OpenAPI documents • Manage and improve our typescript microservice ecosystem • Mentor junior developers and participate in planning and review for backend services

• Design and build high-quality APIs and services for our experimentation platform and recommendation/personalization systems — experiences that are reliable, performant, and genuinely useful to product teams and members. • Work with AI (Claude Code) as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. • Help define and codify AI-Native engineering practices for the team, establishing playbooks the broader org can adopt. • Build across the backend stack as needed — shipping polished, performant, and reliable experiences to tens of millions of users. • Collaborate closely with product managers and data teams to turn complex user problems into elegant, scalable engineering solutions. • Contribute to architectural decisions, code reviews, and a culture of craft and continuous improvement. • Participate in on-call rotation and incident response. • Use agentic workflows to dramatically increase the delivery of strong outcomes — moving faster without sacrificing quality. • Mentor team members and contribute to team processes, technical standards, and help evolve the team's AI-native engineering practices. • Support performance, reliability, and accessibility across the features you own.

• Own and evolve the GDPR Orchestrator (build & run): the platform's core engine, its safety mechanisms (preview/dry-run, audit trail), and its operational health (deploys, on-call, observability). You design the contract areas build on and keep it reliable as adoption grows. • Build the paved road (enable, teach to fish): docs, templates, and self-serve tooling so any of our 15+ areas can plug into the platform and manage its own data rules and dependencies. You coach areas through pairing and syncs; you build the capability rather than doing the work for them. • Coordinate across areas (the cross-area bridge): align legal, security, data, and the data-producing areas on requirements, surface cross-area data dependencies, and resolve design trade-offs between them. You own the coordination; each area stays accountable for its own data and rules. • Push the foundations forward: drive open platform design questions to a conclusion and grow the platform's capabilities as Alan's data, products, and footprint expand.