Staff Datebase Engineer

Lead the migration of product workloads

Give product engineers a clear home for "where should this data live and how should I access it?"

Build reusable primitives — data-sync utilities, ORM best practices, and access-pattern / schema / index review — so teams stop reinventing patterns.

Expand the product-data platform over time into caching, search, and event streaming.

Product Engineering Teams

Platform / Infrastructure Teams

This role has company-wide impact and will partner cross-functionally across the entire engineering organization.

Hands-on experience working with databases inside the product — owning OLTP access patterns, indexing, query optimization, and schema design as part of building user-facing applications

Comfortable both writing code in the product stack and reasoning carefully at the database layer

Deep expertise with a major relational engine (Postgres strongly preferred) in high-volume production; experience migrating workloads (e.g., MongoDB → Postgres) a strong plus

Expertise in schema design, indexing, query optimization, and zero-downtime migrations on large, live tables

Experience scaling systems through significant traffic and data growth, in a domain where understanding access patterns at scale is a survival skill — e.g. advertising analytics, fintech / trading systems, large-scale consumer SaaS, or marketplaces

Strong software engineering ability — writes, reviews, and ships production code, not SQL alone

Flexible problem solving

Strong written and verbal communication skills

Deep sense of personal ownership and accountability

Builder mentality

Experience building shared platform primitives — data-sync tooling, ORM best practices, caching (Redis), search, or queues / event streaming

Experience with payments or financial data

Experience with cloud infrastructure (AWS/GCP), infrastructure-as-code (Terraform), and observability/performance tooling

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