• 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.

• As a Senior Software Engineer on Language Clients, you'll be a technical owner of ClickHouse's Java client and JDBC driver, the foundation that our own Connectors team and a long list of external frameworks rely on to talk to ClickHouse. • Your primary users are engineers: the Connectors team building ClickHouse connectors for Kafka, Flink, Spark, and others, and the broader JVM ecosystem (data ingestion tools, BI platforms, data visualizations) that consumes the driver directly. Your job is to make sure they have a fast, reliable, well-designed foundation and to treat their feedback as the signal for where the driver goes next. • In your first year you can expect to: • Own the Java client and JDBC driver end-to-end: roadmap, API design, performance, release engineering, and partner-facing support. • Drive throughput and latency work across the client and ClickHouse server • Partner day-to-day with the Connectors team as an embedded internal customer: understand what their connectors need from the driver, and ship it. • Engage directly with external partners across data ingestion, and data visualization on interoperability, regressions, and roadmap alignment. • Ship visible, measurable wins in throughput, stability, and developer experience.