Cybersecurity Engineer, Siem

Mistral AI Mistral AI · AI Frontier · Paris, France · Engineering & Infra

Mistral AI is seeking a Security Platform Engineer to architect and maintain the infrastructure for observability of their production systems, treating the SIEM and logging infrastructure as a high-performance data product. The role focuses on ensuring the reliability, scalability, and cost-efficiency of pipelines ingesting security telemetry from GPU clusters, cloud environments, and applications.

What you'd actually do

  1. Own the set-up, lifecycle, availability, and performance of the SIEM solution, ensuring 99.9% uptime for log ingestion and query availability.
  2. Design and maintain high-throughput data pipelines to collect, buffer, and transport logs from distributed systems to the SIEM.
  3. Implement parsing logic and schema standardization to ensure unstructured logs are searchable and actionable for analysts.
  4. Manage alert rules, connectors, and dashboard configurations, avoiding manual console configuration ("ClickOps").
  5. Analyze ingestion patterns to identify noisy, low-value data. Implement filtering and aggregation at the source to maximize signal-to-noise ratio.

Skills

Required

  • 5+ years of experience in Site Reliability Engineering (SRE), Data Engineering, or Security Engineering with a focus on logging infrastructure.
  • Deep understanding of log management challenges at scale (indexing strategies, sharding, partitioning, throughput tuning).
  • Strong experience deploying and monitoring stateful workloads on Kubernetes and Cloud providers (Azure/GCP) and On-Prem.
  • Ability to write production-grade Python or Go for automation and custom log exporters.
  • Experience managing monitoring, alerting, and on-call rotations for critical infrastructure.

What the JD emphasized

  • 99.9% uptime
  • high-throughput data pipelines
  • production-grade Python or Go