brex
Senior Software Engineer, Product Data Platform
At a Glance
- Location
- Canada
- Experience
- 7+ years
- Compensation
- salary range for this role is $192,000 - $240,000 + equity. However, the starti
- Department
- Engineering
- Posted
- 2026-02-19T16:13:10-05:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
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)
Strong expertise in query plan design and analysis, indexing strategies, and real-world database optimization.
Compensation & Benefits
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.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a
brex.com
domain. Any outreach claiming to be from Brex via other sources should be ignored.
Responsibilities
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.