Senior Backend Engineer

Monte Carlo; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Monte Carlo is hiring a Senior Fullstack Engineer to build the core of our agent trust platform, focusing on backend services, distributed systems, and agentic workflows. You will prototype, architect, test, and deploy, with frontend work when required.

You will ship production-grade backend services in Python, design scalable architectures, and contribute to data pipelines behind analytics and customer-facing features. This role combines deep backend work with frontend delivery as needed.

Qualifications

• 5+ years shipping production backend services.
• Experience designing, running, and debugging APIs and services under load.
• Experience with data pipelines or data-heavy systems on AWS and cloud-native services.
• PySpark and ML platform experience is a plus.

Responsibilities

• Take vague problem statements from concept to production: prototype fast, pick architecture, build, test, and deploy.
• Build and run production-grade backend services and APIs in Python powering Monte Carlo's core platform.
• Design and scale distributed systems for reliability, observability, and speed as data and agent volume grow.
• Start with simple, flexible designs and evolve them as the product scales.
• Build and maintain data pipelines behind analytics and ML features.
• Collaborate with product, ML, and infra to ship customer value and build React front ends when needed.

Skills

Backend development

Distributed systems

Product ownership

Data pipelines

Frontend experience (React)

AWS cloud

PySpark

Agentic/LLM-enabled systems experience

Tools

React

AWS

PySpark

Job description

About Monte Carlo

Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. As enterprises prepare to deploy thousands of agents across business-critical use cases, Monte Carlo provides the reliability infrastructure to support them along this AI transformation, from human-guided agents to fully autonomous operations. Founded in 2019 and backed by leading investors, Monte Carlo empowers data and AI teams to ship trusted AI at scale. Learn more at montecarlo.ai

The Role

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.

Why Monte Carlo

We created the data obse

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