Senior Backend Engineer

Remote, USfull timeRemote

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senior

$180k–$230k

H1B: no

Montecarlodata Senior Backend Engineer at Monte Carlo to build backend services, distributed systems, and agentic workflows for AI production monitoring. Responsible for prototyping, architecture, building, testing, deploying, and owning backend services primarily in Python.

Responsibilities

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.

Qualification

Backend depthDistributed systems0-to-1 ownershipData and cloudFullstack rangeThis Is Not For You IfYou'd rather hand off testingSeries DPySpark experienceML platform experienceFrontend experience

Required

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.
We created the data observability category, and we're doing it again with agent trust — you'll build where the market is forming, not where it's settled
Series D, $236M raised, backed by Accel, Redpoint, Notable Capital, ICONIQ Growth, and Salesforce Ventures

Preferred

PySpark experience
ML platform experience
Frontend experience, ideally React
Experience with agentic or LLM-powered systems

Benefits

Equity/RSU

Company

Montecarlodata

View company page

Source: ashby

Active within the past hour

Remote-friendly

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Must-Have Skills for This Role

PythonReactAPIsDistributed systemsAWSPySpark

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Senior Backend Engineer at Montecarlodata · LumiJobs