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 DoDesign 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
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 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
Health & Wellness: Comprehensive medical, dental, and vision insurance
Future Planning: 401(k) plan including employer match on contributions made while employed by Rowspace
Food & Fuel: Monthly commuter stipend, plus free daily lunch and a fully stocked snack bar in the office
Team Culture: Regular team offsites to bond and strategize away from the desk
Skills Required
- 6+ years of experience in infrastructure or platform engineering
- Strong background in cloud platforms (AWS, GCP, or Azure)
- Expertise in containerization and Kubernetes
- Security-minded approach with experience in data governance in regulated industries
- Experience with data pipeline technologies and real-time processing frameworks / ETL
- Knowledge of modern monitoring, logging, and observability tools (Datadog)
- Understanding of compliance requirements (SOC, SOX, GDPR, financial services regulations)
- Experience with AI platforms like SageMaker or Bedrock and optimizing infrastructure for LLM inference and training
- Experience establishing CI/CD practices and infrastructure-as-code across multiple cloud providers
- Startup mentality with ability to move fast while building robust, scalable systems
What We Do
Rowspace is an AI software company that helps investment firms turn siloed institutional data—such as memos, models, investment committee notes, emails, deal history, trading data, and financial records—into a bespoke layer of trusted intelligence. Its platform models how each firm evaluates information, reconciles conflicting data, and supports complex analytical and decision-making workflows across credit, private equity, and other investment strategies.
