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Senior Backend Engineer

Monte Carlo· SPEDD (Security, Product, Engineering, Design, Data)
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Remote$180k - $230k + equityFull-timePosted 2w ago

About the role

Senior Fullstack Engineer focused on building the backend services, distributed systems, and agentic workflows for Monte Carlo’s agent trust platform, with optional frontend work when needed. Remote US-based, full-time.

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.

Qualifications

  • 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.

Skills

Required:PythonAPIs and services designDistributed systemsAWS / cloud
Nice to have:Data pipelines / PySpark

Benefits

  • Stock Options
  • Healthcare plans
  • 401k Retirement Plan
  • Wellness Stipend
  • Home Office Stipend
  • Cell Phone or WIFI reimbursement
  • Paid Parental Leave
  • Flexible Time Off
  • Generous Travel Policy
Last updated Oct 8, 2026. Interested? Apply on the company site.

About Monte Carlo

The only end-to-end data and AI observability platform for enterprise teams.

Go beyond data quality to unlock true AI observability with the only end-to-end data and AI observability platform for enterprise teams.

data qualityAI observabilitydata governancemonitoringlineageperformancealertingmetadata
Company profileWebsite

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