Infrastructure Engineer

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About this role

Infrastructure Engineer San Francisco, California, United States, New York City The Role We're looking for Infrastructure Engineers who will be instrumental in building and securing the backbone of our enterprise-grade AI data platform. You'll design systems that handle large volumes of sensitive financial data under strict security and compliance requirements, including real-time correlation of public data with private, tenant-isolated customer data at scale. What You'll Do - Design and build scalable infrastructure to support our AI-powered knowledge engine processing structured and unstructured financial data - Implement security-first architecture for private cloud deployments, ensuring data governance meets financial services requirements - Build robust data ingestion pipelines that handle everything from CapIQ feeds [structured data] to internal SharePoint documents [unstructured data] - Develop monitoring and alerting systems for our BYOC platform - Implement access controls and audit trails to ensure AI interactions are traceable back to primary sources - Partner with our AI Research and Product teams to optimize infrastructure for LLM inference and training workloads and building agent infrastructure - Establish CI/CD practices and infrastructure-as-code for rapid, reliable deployments orchestrated across multiple cloud providers What You Have - 6+ years of experience in infrastructure or platform engineering - Strong background in cloud platforms (AWS, GCP, or Azure) with expertise in containerization and kubernetes - Security-minded approach with experience in data governance, especially in regulated industries - Experience with data pipeline technologies and real-time processing frameworks; most any ETL experience will do - Knowledge of modern monitoring, logging, and observability tools; we

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