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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