Senior Backend Engineer

About Monte Carlo

Monte Carlo is the agent trust platform that autonomously observes, fixes, and continuously improves agents and the data that powers them — so enterprises can scale trust at the speed of AI. Bayes, our AI teammate, does the work: detecting, triaging, troubleshooting, and fixing issues in AI agents and the data powering them. The result is self-improving agents that get better with every fix instead of drifting. More than 400 enterprises, including Amazon, PepsiCo, CNN, Nasdaq, and JetBlue, rely on Monte Carlo. Learn more at montecarlo.ai [link for members]

THE ROLE

We're hiring a Senior Backend Engineer to design and build the core of our agent trust platform: the architecture, distributed systems, and backend services that let enterprises trust AI in production. You'll get a problem statement, not a spec, and own it from system design to a tested, deployed product. React experience is a plus for the times a feature needs a front end.

WHAT YOU'LL DO

• Own the architecture and system design for core platform services: make the calls, write down the tradeoffs, and evolve the design as scale grows.

• Build and run production-grade backend services and APIs in Python or Java 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.

• Take vague problem statements to production: prototype, architect, build, test, deploy, and own it after launch. Start simple and evolve it 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 pick up React work when a feature needs it.

WHAT WE'RE LOOKING FOR

• Backend depth. 5+ years shipping production backend services in Python or Java, with real experience designing, running, and debugging APIs and services under load.

• Architecture and system design. You've designed systems from a blank page, weighed the options, and can defend the tradeoffs: consistency, availability, latency, and cost.

• Distributed systems. You've built and scaled distributed architectures yourself and run them in production: services, queues, event-driven flows, data stores, and what happens when they fail.

• 0-to-1 ownership. You've taken ambiguous problems to a deployed product, owned testing and deploy, and kept owning it after launch. You move with urgency and treat outcomes as yours.

• Nice to have. React for the times a feature needs a front end. Agentic or LLM-powered systems in production are a strong plus, as are data pipelines on AWS and PySpark.

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, or you've only built inside architectures someone else designed.

• 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 [link for members] — 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 [link for members]

We were recently recognized as the #1 Data Observability Platform by G2 for the 4th consecutive quarter. See our G2 reviews here! [link for members]

Monte Carlo Named to G2's Best Software Products of 2026 [link for members]

Monte Carlo was featured on Database Trends and Applications (DBTA’s) Trend-Setting Products for 2025! [link for members]

We are super proud to be named the 2026 Best Place to Work by Built In! [link for members]

Beware of Imposter Recruiters and Job Scams

• All official communication from our recruiting team will come from an [link for members] [link for members] 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: [link for members]

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 [link for members] before sharing any personal information.