Senior Backend Engineer
Posted Updated
- 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
- 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
- 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
- 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
- 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