🛠 Tech Stack

💼 About This Role

You'll architect and maintain the SIEM infrastructure for Mistral AI's production systems, treating logging as a high-performance data product. You'll ensure 99.9% uptime for log ingestion while optimizing cost-efficiency and scalability across GPU clusters and cloud environments.

🎯 What You'll Do

• Own SIEM lifecycle, ensuring 99.9% uptime for log ingestion and queries
• Design high-throughput log pipelines from distributed systems
• Implement parsing logic and schema standardization for unstructured logs
• Manage alert rules, connectors, and dashboard configurations

📋 Requirements

• 5+ years in SRE, Data Engineering, or Security Engineering with logging focus
• Deep understanding of log management at scale (indexing, sharding, partitioning)
• Strong experience with Kubernetes and cloud providers (Azure/GCP) and on-prem
• Ability to write production-grade Python or Go for automation

✨ Nice to Have

• Experience with SIEM platforms like Splunk or Elasticsearch
• Background in GPU cluster security monitoring

🎁 Benefits & Perks

• 🏖️ Flexible remote policy
• 💰 Competitive equity package
• 📈 Learning & development budget
• 🏥 Health insurance
• 🍽️ Daily lunch stipend

📨 Hiring Process

Introduction call (30 min), Hiring Manager interview (30 min), Technical Rounds I (45 min), Technical Rounds II (60 min), Culture-fit discussion (30 min), References.