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Open nowPosted 44 hours agoWe saw it 118 min after it went up

Senior Backend Engineer

Monte Carlo6 open roles

Pay
$180,000 – $230,000 a year
Where
Remote, US
Work mode
Remote
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Your applicationOpen nowSenior Backend EngineerMonte Carlo · Remote, US

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. Monte Carlo postings stay open a median of 26 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 44 hours ago

Monte Carlo median: 26 days open

The posting

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 https://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.

#LI-REMOTE

#BI-REMOTE

WHY MONTE CARLO

- We created the data observability category, and we're doing it again with agent trust https://montecarlo.ai/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

- Customers include HubSpot, Fox, Nasdaq, Toast, and Mercado Libre — your work ships to enterprises with real stakes

- Snowflake Partner of the Year and a verified connector in Anthropic's Claude AI directory

- Remote-first by design since day one, and recognized as a Best Workplace for it

- Competitive compensation, equity, and a remote-first environment.

Come As You Are

Equality is a core tenet of Monte Carlo's culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.

Monte Carlo is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We are proud to be recognized for our world-class employee experience:

Monte Carlo Named 2025 Databricks Data Governance Partner of the Year https://www.montecarlodata.com/blog-2025-databricks-data-governance-partner-of-the-year/?utm_source=chatgpt.com

We were recently recognized as the #1 Data Observability Platform by G2 for the 4th consecutive quarter. See our G2 reviews here! https://www.g2.com/reports/grid-report-for-data-observability-spring-2025.embed?featured=monte-carlo&secure%5Bgated_consumer%5D=7d02ec0a-326a-40fa-8a44-fab49f67c5f1&secure%5Btoken%5D=6b3c29d18ea50ae0005295b5c63994f97c01cae81bbd3f9ea6abff73c40fde51&utm_campaign=gate-2063400

Monte Carlo Named to G2's Best Software Products of 2026 https://www.montecarlodata.com/blog-monte-carlo-g2-best-software-product-of-2026/

Monte Carlo was featured on Database Trends and Applications (DBTA’s) Trend-Setting Products for 2025! https://www.dbta.com/Editorial/Trends-and-Applications/Trend-Setting-Products-in-Data-and-Information-Management-for-2025-167115.aspx

We are super proud to be named the 2026 Best Place to Work by Built In! https://builtin.com/awards/us/2026/best-places-to-work

Beware of Imposter Recruiters and Job Scams

- All official communication from our recruiting team will come from an @montecarlodata.com http://montecarlodata.com email address.

- We will never ask candidates to provide sensitive personal information (such as bank details, social security numbers, or payment) at any stage of the recruitment process.

- We will never request payment for equipment, training, or application processing.

- Our open positions are always listed on our official careers page: https://jobs.ashbyhq.com/montecarlodata.

If you are contacted by someone claiming to represent Monte Carlo but you’re unsure of their legitimacy, please reach out to us directly at [email protected] before sharing any personal information.

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