/roles — ROLE_67
Infrastructure Engineer
You built your firm's edge. Compound it with AI
The role
- COMP
- $150K - $300K
- EQUITY
- Competitive equity
- LOCATION
- San Francisco · New York
- WORKPLACE
- On-site
- EXPERIENCE
- 1 - 10 years
- VISA
- None, Visa transfers
- STACK
- AWS, GCP, Azure, Kubernetes, CI/CD
- INDUSTRY
- Software Development, AI, Finance, Fintech, Financial Services
The company
AI platform helping professional-services firms compound their edge with AI.
- STAGE
- growth-stage
- FUNDING
- $50M+ raised
- TEAM
- ~15 people
- FOUNDED
- 2024
- BACKING
- backed by Sequoia
JD — the work
About the role
Build and secure the backbone of an enterprise AI platform for financial data: tenant-isolated private-cloud deployments correlating public market data with sensitive customer data in real time, under strict financial-services compliance.
What you'll do
- Design scalable infrastructure for an AI knowledge engine over structured and unstructured financial data
- Implement security-first architecture for private-cloud (BYOC) deployments
- Build ingestion pipelines spanning market-data feeds to internal document stores
- Implement access controls and audit trails tracing AI interactions to primary sources
- Optimize infrastructure for LLM inference, training, and agents
- Establish CI/CD and IaC across multiple clouds
What they're looking for
- 3-10 years of infrastructure/platform engineering
- Cloud depth (AWS/GCP/Azure) with Kubernetes expertise
- Security-minded data-governance experience, ideally regulated industries
- ETL/real-time pipeline familiarity