Senior Software Engineer, Brex

• 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

Desirable

• Engineering at Brex is about building systems that scale with speed and intention
• Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration
• We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment
• It’s an environment where engineering is a craft, and builders become leaders
• This opportunity is on our Product Data Platform (PDP) team, which builds and operates the high-performance data, query, and search infrastructure that powers critical Brex product experiences
• PDP’s mission is to make Brex customizable, scalable, and reliable for finance teams, and that requires deeply optimized, production-grade backend systems
• As a Senior Software Engineer, you’ll work on data-intensive, distributed systems at scale
• You’ll lead architectural and performance improvements across the platform, driving better latency, correctness, and scalability across multiple product surfaces
• PDP also builds AI-powered data products, including an agentic reporting experience that enables customers to interact with their financial data in dynamic, intelligent ways
• Your work ensures these systems are fast, reliable, and built to scale
• 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