Senior Fullstack Engineer

We're hiring a Senior Fullstack Engineer to build the core of our agent trust platform: the backend services, distributed systems, and agentic workflows that let enterprises monitor and trust AI in production. You'll get a problem statement, not a spec, and take it from prototype to architecture to a tested, deployed product. The role is mostly backend, and you'll ship the React surfaces that go with it when the work calls for it.

What You'll Do

• Take vague problem statements to production: prototype fast, pick the architecture, build it, test it, deploy it, and own it after launch.
• Build and run production-grade backend services and APIs in Python that power Monte Carlo's core platform and agentic systems.
• Design and scale distributed systems that stay reliable, observable, and fast as customer data and agent volume grow.
• Start with simple, flexible designs and evolve them as the product and company scale, without over-building up front.
• Build and maintain data pipelines behind analytics, ML, and customer-facing features.
• Work with product, ML, and infrastructure partners to ship customer value, and build React front ends where they're needed to finish the job.

What We're Looking For

• Backend depth. 5+ years shipping production backend services. Strong Python or an equivalent backend language, and real experience designing, running, and debugging APIs and services under load.
• Distributed systems. You've built and scaled distributed architectures yourself and know the tradeoffs around reliability, consistency, and observability from running them in production.
• 0-to-1 ownership. You've taken ambiguous problems from a blank page to a deployed product: prototype, architecture, build, testing, and deploy. You move with urgency and treat outcomes as yours.
• Data and cloud. Experience with data pipelines or data-heavy systems on AWS and cloud-native services. PySpark and ML platform experience are a plus.
• Fullstack range. Frontend experience, ideally React, so you can ship the whole feature. Experience with agentic or LLM-powered systems is a strong plus.

This Is Not For You If

• You want a detailed spec before you start building.
• Your backend experience is mostly CRUD apps on a single service, not distributed systems you've scaled and run.
• You'd rather hand off testing, deployment, and on-call than own them.
• You're mainly a frontend engineer looking to grow into backend.