Software Engineer - Data Infrastructure

About Maxima

Nobody went into accounting to spend the first week of every month matching transactions by hand. Maxima was built so they don't have to. Our agents do the accounting work itself: journal entries, transaction matching, reconciliations, and flux analysis, in real time and to SOX standards. Accountants review and approve. Nothing posts without a person signing off. We remove the grind, not the human.

Maxima is the first agentic AI platform for enterprise accounting. Our founders oversaw the finance org at Rubrik and built the month-end close systems at Twitter and Netflix. We've raised $41M from Redpoint Ventures, Kleiner Perkins, and Audacious Ventures, and we're backed by finance leaders at OpenAI, Rubrik, and Vanta. Maxima runs in production at Scale AI, Rippling, Glean, and SpotOn.

We are early, we are growing fast, and we are hiring people who would rather build the category than join it. Here is one way to do that.

The role

We are working on some of the hardest problems in enterprise automation, with an engineering team that includes staff-level talent from Robinhood, Glean, Google, Netflix, and Meta. The system handles high-volume financial data and complex accounting workflows, and every execution has to be accurate and reliable, because the output is a company's books.

Every accounting workflow and every agent at Maxima runs on the data platform, and you will build it. Financial data arrives from ERPs, banks, payroll, and billing systems in volumes that grow with every customer, and it has to be ingested, matched, and reconciled without losing a cent or a trail. As a Data Infrastructure Software Engineer, you will design and scale the systems that do that: our data lakes, our multi-tenant relational databases, and the search and vector infrastructure that supports the workflows on top.

This is a foundational role on a small team, with the ownership that comes with it. The decisions you make about how financial data is modeled, stored, and served will shape what the agents can do for years.

What you'll do

• Architect our data lakes and the ingestion pipelines that feed them from ERPs, banks, and other financial systems

• Build and scale our multi-tenant relational databases and the data models behind journal entries, reconciliations, and transaction matching

• Evaluate and build the right search engine and vector database setup to support agent and accounting workflows

• Design durable, highly available financial data processing layers that the agents depend on

• Own the reliability, observability, and performance of the data platform as customer volume grows

• Work with the AI Agents and product engineering teams so the platform serves what they are building
  
  

What we're looking for

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

• Strong experience with relational databases and data modeling

• Experience building and operating data pipelines and distributed, data-intensive systems

• Familiarity with web development and cloud infrastructure such as GCP

• Care about correctness; you have worked on systems where the numbers have to be right

• Strong communication and collaboration skills
  
  

Nice to have

• Experience with mission-critical systems such as fintech, or complex workflow engines

• Search engines or vector databases in production

• Financial data specifically: ERP integrations (NetSuite, SAP, Oracle, Workday), banking data, or accounting systems

• Go, TypeScript, or Python
  
  

Where and how you'll work

This role is based in our San Mateo office. We value in-person collaboration and are in office four to five days a week for our on-site roles.

Why join Maxima

• The work. Agentic accounting is a category being defined right now, and Maxima is one of the companies defining it. The product does the accounting work itself, so what you build, sell, or deploy shows up in a customer's books

• The people. Founders who ran the finance org at Rubrik and built the close systems at Twitter and Netflix. Engineers from Robinhood, Glean, Google, Netflix, and Meta. Controllers and accountants on the team who have closed books themselves. Small teams in San Mateo and Toronto that work in the same room, say what they think, and hold a high bar

• The benefits. Competitive salary, 401(k) for US employees, unlimited PTO, lunch in the office, and commuter benefits

• The process. A person reads every application, and we tell you where you stand at every stage
  
  

A note on AI

We build AI and we expect you to use it. Use it to research us and to prepare. In live conversations we want your own thinking in your own words, and if you use AI on a take-home exercise, tell us where it helped.

Equal opportunity

Maxima is an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any other legally protected status. If you need an accommodation at any point in the process, tell us and we will arrange it.