Data Infrastructure Engineer – Scale FinTech Data Systems

Company Description

At Maxima, we’re building an agentic AI platform to automate enterprise accounting.

Our system handles high-volume financial data, complex accounting workflows, and robust executions that must be accurate and reliable.

We’re tackling some of the hardest problems in enterprise automation, and we’ve assembled a world-class engineering team with staff-level talent from Robinhood, Glean, Google, Netflix, and Meta. Maxima is backed by top-tier investors including Kleiner Perkins and Redpoint Ventures, and we’re trusted by category-defining customers like Scale AI and Rippling.

Role Overview

In this role, you’ll be building and scaling the systems that ingest and process large volumes of financial data. This platform is foundational to all accounting workflows and the agentic system. Sample work includes architecting our data lakes, building our multi-tenant relational DBs, investigating the right search engine / vector database setup to support various workflows.

What We're Looking For

• 5+ years working with data systems at high-growth companies

• Familiarity with web development, relational databases, and distributed systems

• Experience with data pipelines, mission-critical systems (e.g. fintech), or complex workflow engines is a plus

• Loves in-person culture, we are 5 days a week in office in downtown San Mateo

Why Join Us:

• Be a core part of a mission-driven startup looking to transform accounting processes.

• Work in a fast-paced environment where your decisions directly impact product direction and company growth.

• Opportunity to grow with the company and build a technical team from the ground up.

• Competitive salary, equity, and benefits (401k, unlimited PTO)

Join us in revolutionizing accounting month-end close and making accounting operations more efficient for businesses everywhere!