Build end-to-end cybersecurity products and agents that automate vulnerability detection, threat response, and cloud security. Collaborate with internal security teams to integrate these tools into customer environments and maintain high standards for data security and system performance.
You will own the production compute, networking, and storage infrastructure, ensuring high availability, latency, and cost efficiency. Additionally, you will lead incident response, automate infrastructure workflows, and manage the Kubernetes fleet at scale.
You will design and operate a unified, self-serve compute platform to manage GPU clusters and inference workloads across multiple cloud providers. This role involves building fault-tolerant systems, optimizing GPU resource allocation, and ensuring high availability for both training and inference services.
Design and build core search engine components, including indexing pipelines, data storage, and retrieval algorithms at a massive scale. Develop streaming and batch data processing systems while optimizing hardware performance through low-level systems tuning.
The role involves designing, building, and operating distributed infrastructure to support real-time search, AI, and enterprise workloads. You will own cross-cutting infrastructure problems, improve system performance and scalability, and establish technical standards across the organization.
