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Monte Carlo

Technical Support Engineer

Monte Carlo

Technical Support Engineer diagnosing and resolving technical issues across data observability platform. Build documentation and collaborate with engineering teams for customer support.

Posted 5/30/2026full-timeRemote • New York • 🇺🇸 United StatesJuniorMid-Level💰 $100,000 - $130,000 per yearWebsite

Tech Stack

Tools & technologies
AirflowAWSAzureBigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact
  • Diagnose and resolve technical issues across Monte Carlo's platform — data pipelines, monitors, alerts, integrations, and agent observability features
  • Own issues end-to-end: triage, reproduce, escalate to Engineering when needed, validate fixes, and close the loop with customers
  • Build and maintain documentation, runbooks, and a knowledge base
  • Work alongside the team building AI-powered support tooling
  • Partner with Engineering and Product on bugs and feature gaps
  • Drive high-priority customer issues over the line
  • Collaborate with Customer Success, Sales, and Field Engineering
  • Use AI to surface patterns across cases

Requirements

What you’ll need
  • 2+ years in a technical support, solutions engineering, or SRE-adjacent role
  • Comfortable reading logs, writing SQL, using Postman, and navigating cloud environments (AWS, GCP, Azure)
  • Comfortable finding your way around a Python repo: reading PRs, writing fixes, running tests
  • Knowledge of modern data stack: Snowflake, Databricks, BigQuery, dbt, Airflow, or similar
  • Understanding of AI agents and ML-driven systems
  • Experience using AI coding assistants and LLM tools in workflow
  • Clear, calm, and honest communication under pressure
  • Ability to write docs and propose process fixes

Benefits

Comp & perks
  • 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

ATS Keywords

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Hard Skills & Tools
SQLPythondata pipelinesmonitoringintegrationsAI agentsML-driven systemsSnowflakeDatabricksBigQuery
Soft Skills
communicationproblem-solvingcollaborationdocumentationcustomer focuscalm under pressureprocess improvement