Backend Software Engineer — Data Platform & AI Data Products

<h3><strong>About the Role</strong></h3> <p>You’ll join the Data Platform team, responsible for building the backend services and “data products” that power how data moves through the company. We create the core platform primitives — high-quality event streams, reliable access layers, and developer-friendly APIs/tools — so teams across the org can self-serve what they need and ship faster. You’ll contribute to backend services that create value from our company data, and help make our data platform more self-serve so product and engineering teams can easily create and operate event-driven architectures, publish/consume streams, define access models, and ship data products end-to-end. You’ll also work on LLM-adjacent services such as prompt categorization/taxonomy, enrichment, and metadata systems that turn raw telemetry into trusted, usable products — with mentorship and support from experienced engineers.</p> <p><strong>Responsibilities</strong></p> <ul> <li>Contribute to backend services that enhance the data platform’s capabilities (APIs, control planes, automation, governance).</li> <li>Help enable DIY workflows for teams across the company:</li> </ul> <ul> <li> <ul> <li>Define/publish events and schemas</li> <li>Create/consume streams and subscriptions</li> <li>Establish access models (authz, row/field-level controls where applicable)</li> <li>Manage dataset/catalog metadata, lineage, versioning, and retention</li> </ul> </li> </ul> <ul> <li>Contribute to end-to-end data products: ingestion → validation/quality → enrichment → serving (APIs/streams) → observability → adoption.</li> <li>Work on prompt categorization and enrichment services: taxonomy design, labeling workflows, classifier/rules integration, evaluation, drift/quality monitoring, and safe rollouts.</li> <li>Learn to own reliability: SLOs, alerting, performance/cost tuning, incident response, and postmortems.</li> <li>Partner cross-functionally with ML/LLM, infra, security, and product teams to defin