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AI/ML Hybrid

Associate TSE II

Job Overview

This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics.

Key points

  1. You'll be working alongside our largest customers, solving their complex challenges - resolving questions on architecture, performance, recovery, security, and everything in between.

  2. You'll be an expert resource on best practices in running MongoDB at scale, whatever that scale may be.

  3. You'll be an advocate for customers' needs - interfacing with our product management and development teams on their behalf.

  4. We consider all candidates with an eye for those who are self taught, curious, and multi-faceted.

  5. Preferred: comfortable with modern AI concepts and proficient in using AI-assisted tools to accelerate troubleshooting and enhance day-to-day technical support workflows.

  6. Preferred: knowledge on one or more of Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, PHP, or Perl.

  7. Preferred: it’s crucial for every candidate that they can check off all of these boxes.

  8. Preferred: excellent communication skills, both written and verbal.

Skills

MongoDBTroubleshootingJavaScriptPythonNode.jsJavaC#AWS

Experience: Entry-level

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