/roles — ROLE_67
Infrastructure Engineer
Enterprise AI startup helping investment firms put their private research, past deals, and market data to work securely
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 for investment firms that turns years of scattered memos, models and deal records into secure, usable knowledge for the whole team.
- 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