Tech Stack

Description

You will work on the Product Data Platform team to build and operate high-performance data, query, and search infrastructure that powers critical Brex product experiences. Your focus will be on optimizing distributed systems for latency, correctness, and scalability, including AI-powered data products.

Requirements

• 7+ years of backend engineering experience building and operating production systems at scale
• Experience building platforms or infrastructure used by real customers
• Strong communication skills and ability to collaborate cross-functionally
• Deep hands-on experience with relational databases (Postgres or Aurora strongly preferred)
• Hands-on experience with OpenSearch / Elasticsearch or similar systems in production (bonus)

Responsibilities

• Analyze and optimize complex query plans, execution paths, cost models, joins, and indexing strategies
• Drive schema and access-pattern improvements to resolve systemic performance bottlenecks
• Debug and remediate P95/P99 latency issues under load in production systems
• Design and operate distributed systems with tradeoffs around consistency, latency, caching, and failure modes
• Implement and improve caching strategies, read/write separation, and replica usage