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Rowspace

Finance-native AI platform for investment decisioning

Infrastructure Engineer

Cloud EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • At least 4 years of experience in infrastructure or platform engineering, including deploying and operating production systems in customer-controlled cloud environments.
  • Deep experience with AWS, Google Cloud Platform, or Azure, as well as Kubernetes, containers, and infrastructure as code.
  • Strong distributed-systems fundamentals and experience scaling compute-intensive, asynchronous workloads.
  • Strong operational instincts across observability, reliability, incident response, and cost-performance optimization.
  • Ability to work directly with enterprise stakeholders, from platform engineers to chief information security officers, and turn ambiguous infrastructure conversations into actionable plans.
  • Ability to move quickly while building robust, scalable systems.

Responsibilities

  • Design and automate deployments in customer-controlled environments, including networking, Kubernetes, identity and access management, domain name system, key management, and infrastructure as code.
  • Own customer deployments end to end, from technical scoping and initial provisioning through upgrades, scaling, incident response, and ongoing reliability.
  • Scale the compute and orchestration platform that powers agent workloads and high-volume data processing, ensuring jobs are scheduled efficiently and remain reliable, observable, and cost-effective as demand grows.
  • Build the next generation of the deployment platform, adding secure, out-of-the-box deployment options across Databricks, Azure Marketplace, and other enterprise platforms.
  • Work with customer platform, security, and DevOps teams to navigate infrastructure constraints, change management processes, and security reviews.
  • Partner with the founders, AI Research, and Product teams to translate prospect, customer, and product needs into infrastructure that can be deployed and operated reliably across diverse environments.

About the Company

Rowspace

Finance-native AI platform for investment decisioning

Rowspace is a financial-AI platform that helps large investment teams make better decisions by organizing both structured data (like models and spreadsheets) and unstructured information (memos, emails, legacy systems) into a finance-focused view. It works by connecting data from across a firm and running analyses inside the customer’s own environment, so proprietary information stays under the client’s control. The product integrates with tools like Excel and Microsoft Teams, and enables portfolio monitoring, review of historical deals, and optimization of credit books using AI tailored to finance. Rowspace differentiates itself by keeping data on the client side, offering a finance-native data model, and targeting enterprise asset managers with high-value contracts, rather than relying on cloud-only solutions. The company’s goal is to empower investment teams to extract precise insights from their own data and improve decision-making while maintaining data security and control.

Company size
11-50
Company stage
Series A
Total funding
$50M
Headquarters
San Francisco, CA
Founded
2024

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