Senior/Staff Software Engineer

Maxima•San Mateo, CA

1d•Onsite

About The Position

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. 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. As a Senior or Staff Engineer, you will drive initiatives with broad business and technical impact. The role is not tied to a single area: senior and staff engineers here take on our most important and complex problems, own major product and engineering areas, and work directly with customers. Beyond technical excellence, we value engineers who are curious and take initiative.

Requirements

Typically 5 or more years building systems at high-growth companies
Strong familiarity with web development, relational databases, and distributed systems
A record of owning a product or engineering area end to end and driving initiatives that cut across teams
Ability to design, deploy, and iterate on infrastructure that has to be accurate and reliable under high-volume financial data
Comfort working directly with customers to understand real-world requirements
Strong communication and collaboration skills; you raise the bar for the people around you

Nice To Haves

Experience with AI agents, data pipelines, mission-critical systems such as fintech, or complex workflow engines
Experience with any of our stack: Go, TypeScript, and Python services, React on the front end, GCP and Kubernetes, and LLM integrations throughout

Responsibilities

Build the agentic systems that power real-world enterprise accounting automation
Scale the platform to support large and growing enterprise workloads
Architect a durable and scalable financial data processing layer
Build the infrastructure that powers our agentic systems
Solve intricate accounting workflows through clean and robust abstractions