AI Infrastructure Engineer
Design and build the infrastructure that runs our AI security platform at enterprise scale, from real-time data processing pipelines to on-premise deployment systems.
About the position
As an AI Infrastructure Engineer at SnowCrash Labs, you will build the foundational systems that make enterprise-grade AI security possible. Our platform processes millions of events per second with sub-millisecond latency, deploys on customer premises for data sovereignty, and scales to protect the largest AI deployments in the world. You will own the infrastructure that makes all of this work.
Job responsibilities
- Design and maintain the high-throughput stream processing pipeline that ingests, analyzes, and routes AI interactions in real time.
- Build and optimize on-premise deployment systems that allow customers to run the full SnowCrash platform within their own data centers.
- Develop the distributed computing infrastructure that powers our adversarial testing engine across large-scale enterprise environments.
- Implement monitoring, alerting, and reliability systems that ensure our platform maintains its performance guarantees under heavy load.
- Work with the security team to ensure our own infrastructure meets the same rigorous standards we apply to our customers' AI systems.
You will work with technologies including stream processing frameworks, container orchestration, and distributed databases in an environment where performance and reliability directly impact customer security.
Benefits
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