Infrastructure Engineer

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

• 5+ years of experience in infrastructure or platform engineering; staff level preferred, 3 to 5 years only with an elite startup and a top 25 CS degree
• 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
• Knowledge of modern monitoring, logging, and observability tools; we use Datadog
• Understanding of compliance requirements (SOC, SOX, GDPR, financial services regulations is a plus)
• Startup mentality with the ability to move fast while building robust, scalable systems
• Experience with AI platforms like SageMaker or Bedrock