Senior Backend Engineer — Scale Fintech Platform (Hybrid)

Brex; California (MO); Hybrid; USD 192,000 - 240,000; Full time

Job summary

Brex, based in San Francisco with a hybrid work model, is seeking an experienced backend engineer to design, build, and scale critical financial software products. You will collaborate across teams to deliver customer-facing features that impact growth and operational efficiency.

The role requires 7+ years in backend development, expertise in Java/Kotlin/Python, and a strong understanding of data systems, performance, and reliability.

Qualifications

• 7+ years of professional experience designing, developing, and deploying applications with a focus on the backend.
• Experience building and designing scalable backend systems
• Experience working with SQL or NoSQL databases
• Experience working with backend programming languages (Java, Kotlin, Python)
• Familiarity with software engineering development cycles
• Ability to hold yourself and the team to high standards
• Strong communication and interpersonal skills

Responsibilities

• Collaborate with engineers across the company to build new features and products end-to-end.
• Work alongside user‑facing teams like Sales and Support to deeply understand our customers' needs.
• Design and implement solutions to improve our customers' banking experiences.
• Own problems end-to-end, from user experience and data models to scalability, operability, and ongoing metrics.
• Tune and polish features to a high degree of excellence.

Skills

Backend development

SQL/NoSQL

Java

Kotlin

Python

Software development lifecycle

Communication skills

Job description

Brex, based in San Francisco with a hybrid work model, is seeking an experienced backend engineer to design, build, and scale critical financial software products. You will collaborate across teams to deliver customer-facing features that impact growth and operational efficiency.

The role requires 7+ years in backend development, expertise in Java/Kotlin/Python, and a strong understanding of data systems, performance, and reliability.