Cybersecurity Engineer, Mistral AI
SIEM
+ Equity package
3+ days a week in office
Generative AI model developers
Be an early applicant
Generative AI model developers
501-1000 employees
Be an early applicant
+ Equity package
3+ days a week in office
501-1000 employees
Company mission
To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.
Role
Who you are
- 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 job involves
- 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
- 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
Application 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
Our take
Founded by Facebook AI researchers, Mistral AI focuses on developing open-source generative AI models to "make AI useful." It emerged in early 2023, quickly achieving a $260 million valuation.
Mistral features up to 176 billion parameters, and its open-source nature has sparked concerns about potential misuse. However, Mistral remains a formidable competitor in the AI landscape, challenging models from Google and Meta.
In 2025, Mistral secured a massive €1.7 billion funding round, raising its valuation to €11.7 billion. This Series B funding, led by European chip firm ASML, underscores significant interest in alternatives to ChatGPT and a push away from Silicon Valley dependence by European AI competitors.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 5 rounds)
Sep 2025
$2.0bn
SERIES C
Jun 2024
$552.3m
SERIES B
Total funding: $3.2bn
Company benefits
- Competitive bonus structure
- Equity
- Opportunities for professional growth and development
Company HQ
Villette, Paris, France
Leadership
Timothee Lacroix
(Co-Founder & CTO)Previously PhD and Software Engineer Intern at Facebook and Visiting Undergraduate at CAlab UCSD
Guillaume Lample
(Co-Founder & Chief Scientist)Research Student and Scientist at Facebook AI and Research Intern at Jane Street Capital
Arthur Mensch
(Co-Founder & CEO)Previously Staff Research Scientist at DeepMind, Post-doc researcher at École normale supérieure, Visiting Researcher at NYU Courant Institute of Mathematical Sciences and PhD Student at Inria
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