About the role

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

3-10 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

The best investors we know have built something over years and decades that's impossible to replicate: institutional memory of how they think and operate. It lives in memos, models, investment committee notes, emails, deal history, and trading data — scattered across systems that hold the patterns of what worked, what didn't, and why. That accumulated knowledge and how they apply it is their edge.

The problem is, it's trapped. It's messy and conflicting. It's locked behind stringent security and compliance controls. And most AI tools can't extract its meaning, much less scale it. That's the challenge we're taking on at Rowspace.

The firms we speak to know they need to drive AI transformation on an aggressive timeline. We've seen close up that AI is useless without the right data to act on. With public data increasingly commoditized, maintaining your edge demands a way to scale the judgment and insight latent in all the proprietary data your firm possesses.

Rowspace is launching to provide exactly this: specialized intelligence for investors to make faster, sharper decisions. We're thrilled to do it with $50M in backing from Sequoia, Emergence, Stripe, Conviction, Basis Set, Twine, and angels from across finance.

Infrastructure Engineer

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