Data & AI infrastructure Engineer

Eysins , Switzerland
Hybrid

AI overview

Design and operate a secure, scalable, and AI-ready data platform that supports advanced analytics and automation through building end-to-end Data & AI architectures.

Data & AI Infrastructure EngineerOverview

We are seeking an engineer to design and operate a secure,

scalable, and AI-ready data platform supporting advanced analytics and automation.

Main Responsibilities :

• Build and optimize end-to-end Data & AI architectures.

• Define platform blueprints (storage, compute, security, observability).

• Select and implement technologies (SQL engines, orchestration, MLOps, CI/CD).

• Establish standards for data modeling and data lifecycle management.

Requirements

Profile

• Master’s degree in Computer Science with cloud/data expertise.

• Strong foundations in systems, databases, distributed computing.

• Skills in Terraform, GitLab/GitHub CI/CD, SQL/Python, Dremio/Starburst/Denodo,

Nexthink/Splunk/Elastic, AI/AIOps, data governance.

• Autonomous, organized, team-oriented, aligned with values: Respect, Excellence, Honesty,

Humility, Accountability.

Reporting to Infrastructure & Security Team Leader • 80–100% workload

Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Infrastructure Engineer Q&A's
Report this job
Apply for this job