
Senior AI & Cloud Operations Engineer
Datatonic
full-time
Posted on:
Location Type: Hybrid
Location: Zagreb • Croatia
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Job Level
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