montecarlodata - Senior Backend Engineer
Requirements
• 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.
Responsibilities
• 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.
Benefits
• 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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