Help build the backend engine that makes data and AI reliable at scale, not “pray it works in production” vibes. If you like owning big systems end to end, shipping fast, and building clean services that power ML and pipelines, Monte Carlo is swinging at your kind of problems.
About Monte Carlo
Monte Carlo is a data observability company helping teams deliver trustworthy data and AI at scale, often described as the “New Relic for data.” They work with major companies across industries to keep data reliable and usable. It’s a fast-moving environment backed by top-tier investors, with a strong focus on product impact and engineering ownership.
Schedule
Full-time
Remote anywhere in the Americas
Compensation range: $180K to $230K base + equity (final depends on skills, experience, and location)
What You’ll Do
⦁ Build production-grade backend services and APIs that directly impact customer experience
⦁ Own major projects from requirements to deployment, moving quickly and shipping iteratively
⦁ Architect simple, flexible solutions first, then scale them as the platform grows
⦁ Contribute to Monte Carlo’s cloud service, data pipelines, and ML platform alongside a seasoned team
⦁ Operate with an ownership mindset, balancing speed with reliability in production
What You Need
⦁ 5+ years delivering production-grade backend services
⦁ Mastery of Python or an equivalent backend technology
⦁ Experience building and scaling distributed architectures
⦁ Strong ownership, urgency, and customer focus
⦁ Bonus points for PySpark experience
⦁ Bonus points for AWS familiarity
⦁ Bonus points for experience building data pipelines
Benefits
⦁ Equity (stock options)
⦁ Healthcare plans and 401(k)
⦁ Wellness stipend and home office stipend
⦁ Cell phone or WiFi reimbursement
⦁ Paid parental leave
⦁ Flexible time off
⦁ Generous travel policy
These teams move fast. If you want a role where “senior” means you truly own the outcome, not just the ticket, get your name in the mix.
Happy Hunting,
~Two Chicks…