Datatonic

Senior AI & Cloud Operations Engineer

Datatonic

full-time

Posted on:

Location Type: Hybrid

Location: ZagrebCroatia

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About the role

  • Design and maintain the backend services and automation layers that power our managed platforms.
  • Build and deploy AI Agents and evaluation frameworks to automate anomaly detection, cost-optimization, and model health checks.
  • Lead "Minor Feature" development implementing high-impact improvements and architectural tweaks to keep client platforms modern.
  • Collaborate with architects and client stakeholders to identify "Day 2" risks and provide technical solutions before they impact the business.
  • Apply the "80/20" rule dedicating a portion of your time to internal R&D and building the automation tools that eliminate manual toil.

Requirements

  • 5+ years of software engineering experience, with a proven track record of building and running production systems.
  • Deep technical knowledge of Google Cloud and Google Cloud tools (e.g., BigQuery, Dataflow, DataProc, Dataplex, Composer, Vertex, Looker, etc.). You understand how to architect for performance and cost.
  • Proficiency in Python, and a solid grasp of modern CI/CD, IaC, and containerization.
  • A strong interest in MLOps and the challenges of deploying and monitoring Large Language Models (LLMs).
  • You are a versatile engineer who takes extreme ownership. You enjoy the "puzzle" of finding why a system is sub-optimal and building the code to fix it permanently.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonCI/CDIaCcontainerizationanomaly detectioncost-optimizationmodel health checksMLOpsLarge Language Modelsproduction systems
Soft Skills
leadershipcollaborationproblem-solvingownershipcommunication