The Role
Design, operate, and optimize SIEM and high-throughput logging pipelines for production systems. Ensure 99.9% log ingestion/query availability, implement parsing/schema standardization, manage alerts/connectors/dashboards, reduce noisy data via filtering/aggregation, and architect data tiers for performance, retention, and cost.
Summary Generated by Built In
About Mistral
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 democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.
We are a dynamic, collaborative team passionate about AI and its potential to transform society.
Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.
Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.
Role summary
Mistral is looking for a Security Platform Engineer to architect and maintain the infrastructure ensuring the observability of our production systems.
You will treat the SIEM and logging infrastructure as a high-performance data product. Your objective is to ensure the reliability, scalability, and cost-efficiency of the pipelines ingesting security telemetry from our GPU clusters, cloud environments, and applications.
What you will do
• 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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Location & Remote
The position is based in our Paris HQ offices and we encourage going to the office as much as we can (at least 3 days per week) to create bonds and smooth communication. Our remote policy aims to provide flexibility, improve work-life balance and increase productivity. Each manager can decide the amount of days worked remotely based on autonomy and a specific context (e.g. more flexibility can occur during summer). In any case, employees are expected to maintain regular communication with their teams and be available during core working hours.
What we offer
💰 Competitive salary and equity package
🧑⚕️ Health insurance
🚴 Transportation allowance
🥎 Sport allowance
🥕 Meal vouchers
💰 Private pension plan
🍼 Generous parental leave policy
By applying, you agree to our Applicant Privacy Policy.
Top Skills
Alerting
Azure
GCP
Go
Gpu Clusters
Indexing
Kubernetes
Log Exporters
Log Management
Logging
Monitoring
On-Prem
Partitioning
Python
Sharding
SIEM
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The Company
What We Do
Fast, open-source and secure language models. Facilitated specialisation of models on business use-cases, leveraging private data and usage feedback. Built from a world-class team in Europe, targeting global market. Join the team ! https://jobs.lever.co/mistral/
