Front-to-back investment management platform built on AWS and Kubernetes
Ridgeline operates a full-stack system of record for investment managers, built on Python, Java, Kotlin, and Kubernetes, with heavy AWS infrastructure (Aurora, Lambda, VPC, CloudWatch). The hiring shape—41 engineers, 13 sales, 6 product, 6 data—reflects a product-led, engineering-first org scaling to land enterprise deals. Pain points (legacy platform migration, reporting scalability, slow time-to-value, AWS cost optimization) and active projects (scalable accounting engine, trade order management, cloud migration) reveal an execution profile focused on replacing disconnected legacy tooling with unified, real-time workflows.
Notable leadership hires: Project Lead, Education Services Director
Ridgeline builds a unified platform for investment management operations—trading, portfolio management, compliance, and reporting—integrated into a single system of record. The product sits at the front-to-back layer of the investment workflow, connecting order entry through settlement and client reporting. The company sells to mid-market and enterprise investment firms looking to consolidate fragmented tools and reduce operational friction. Founded in 2018 and headquartered in Incline Village, Nevada, with offices in New York, Reno, and the Bay Area, Ridgeline operates across 201–500 employees and is actively hiring engineers, sales, and customer implementation roles to support enterprise deployments and platform expansion.
Python, Java, Kotlin, TypeScript, Go, Bash, React, JavaScript. Infrastructure: AWS (Aurora, Lambda, VPC, CloudWatch), Azure, GCP, Kubernetes, Docker, Terraform. Deployment: Jenkins, ArgoCD, Spinnaker. Integrations: Salesforce, Okta, Workday, SWIFT, GraphQL.
Core projects include a scalable accounting engine, trade order management solution, next-generation performance and analytics platform, and enterprise cloud platform implementation across trading, portfolio management, and compliance workflows. Work also spans electronic trading solutions and developer-based automation tools.
Ridgeline's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.