Senior Software Engineer, Product Data Platform

San Franciscosenior

EngineeringDevOps & InfrastructureData Engineering

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Quick Summary

Key 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.

Requirements Summary

7+ years of backend engineering experience building and operating production systems at scale. Experience building platforms or infrastructure used by real customers.

Technical Tools

EngineeringDevOps & InfrastructureData Engineering

What We Offer

~1 min read

Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

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 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.

As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

~1 min read

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.

Responsibilities

~1 min read

→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.

Requirements

~1 min read

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.

Nice to Have

~1 min read

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

What We Offer

~1 min read

✓The expected salary range for this role is $192,000 - $240,000 + equity. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.