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# Software Engineer, Product Data Platform

- **Company:** Brex Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $192,000.0 - $240,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Relational Databases, Software Debugging, Distributed Systems, Elasticsearch, Java Virtual Machine (JVM), PostgreSQL, Database Optimization, Backend, Kotlin
- **Published:** August 14, 2026
- **Apply:** https://www.dice.com/job-detail/34c506fe-ebba-40b2-bae9-554cd9acba14

## About the Role

* 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)
 * Strong expertise in query plan design and analysis, indexing strategies, and real-world database optimization.

Bonus:

 * Hands-on experience with OpenSearch / Elasticsearch or similar systems in production
 * Experience with multi-tenant or data-heavy platforms.

## Description

This role will be based in our San Francisco Office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday., * 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 thoughtful tradeoffs around consistency, latency, caching, and failure modes.
 * Evaluate existing architectures to proactively identify scaling risks and long-term reliability gaps.
 * Implement and improve caching strategies, read/write separation, and replica usage.
 * Contribute to and improve backend systems primarily in the JVM ecosystem (Kotlin/Java).
 * Raise the technical bar through thoughtful design reviews and clear communication of tradeoffs.


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