Fullstack Engineer, Investigator Tools
Build full-stack, data-intensive investigative tools that help financial institutions detect fraud, including graph visualizations, high-performance search, scalable backend services, and intuitive interfaces.
Orcrist is building a next generation data intelligence platform using cutting-edge technologies. We're handling petabyte-scale data with sub-second queries. Our product is a Kubernetes‑based platform delivered as B2B SaaS or as a self‑hosted on‑prem solution, including air‑gapped deployments. We enable customers across defense, law enforcement, and enterprise to turn mission-critical data into actionable intelligence.
We are looking for a hands-on Software Development Engineer to build data-intensive software capabilities for challenging applications in intelligence, public safety, and national security. You will work closely with our Intelligence team on data pipelines, data structuring, visual data analytics, and experimental software projects.
You will work with large and complex datasets, develop tooling and infrastructure around visual data, and help turn new ideas into reliable, scalable systems. This role is ideal for a strong software engineer who enjoys working with data, learning quickly, and solving practical problems in a highly dynamic environment.
Build full-stack, data-intensive investigative tools that help financial institutions detect fraud, including graph visualizations, high-performance search, scalable backend services, and intuitive interfaces.
Build fullstack, data-intensive investigative tools that help financial institutions detect fraud, including graph visualizations and high-performance search, while owning features from discovery through continuous improvement.
Build fullstack investigative tools that help financial institutions detect and investigate fraud, owning features from discovery through delivery while developing graph visualizations, search experiences, and scalable data-intensive.
Build fullstack, data-intensive investigative tools that help financial institutions detect fraud, using graph visualizations, powerful search, scalable backend services and intuitive interfaces.
Build fullstack, data-intensive investigative tools that help financial institutions detect fraud, including graph visualizations and high-performance search, while owning features from discovery through ongoing improvement.