Technical Support Engineer

🕒 May 30

🗽 New York – Remote

🗽 New York – Remote

💵 $100k - $130k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📞 Support Engineer

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Monte Carlo

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Monte Carlo is a data observability company that provides a comprehensive platform to ensure reliable data and AI delivery. Their services include machine learning-enabled data anomaly detection, incident triaging, and root cause resolution to maintain high data quality. They offer data quality monitoring, testing, and cost optimization tools for cloud infrastructures, enabling companies to deploy and manage data with confidence. Monte Carlo is tailored for verticals such as financial services, healthcare, media, and technology, helping organizations to self-serve, maintain dashboard integrity, and launch reliable data products. Their solutions aim to eliminate data downtime and enhance operational efficiency across enterprise data landscapes.

📋 Description

• 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

• 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

• 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