About Mistral AI
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.
We are looking for a Security Platform Engineer to architect and maintain the infrastructure ensuring the observability of our production systems. This role involves treating the SIEM and logging infrastructure as a high-performance data product.
Responsibilities
- Own the set-up, lifecycle, availability, and performance of the SIEM solution, ensuring 99.9% uptime for log ingestion and query availability.
- Design and maintain high-throughput data pipelines to collect, buffer, and transport logs from distributed systems to the SIEM.
- Implement parsing logic and schema standardization to ensure unstructured logs are searchable and actionable for analysts.
- Manage alert rules, connectors, and dashboard configurations, avoiding manual console configuration ("ClickOps").
- Analyze ingestion patterns to identify noisy, low-value data. Implement filtering and aggregation at the source to maximize signal-to-noise ratio.
- Architect data tiers to balance query performance with compliance retention requirements and cloud costs.
About You
- 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.
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
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