About the role
The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI friendly- and driven platform that keeps pace—automating entity resolution, optimizing data labeling pipelines, and creating predictive models that identify illicit patterns before they escalate. Our data and AI agents power solutions used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. By pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we give customers the confidence to operate in an economy that never sleeps. As a Staff Software Engineer within Investigations, you'll be a driving force in a team of engineers, taking ownership of technical direction and sharing responsibility for providing the right tools and the right data to build best in class customer experiences. You'll lead the design, build and maintenance of new customer facing web-features as well as the APIs and services backing them. A key part of this role is partnering closely with product managers and designers, leveraging your deep understanding of the underlying data platform to deliver impactful, scalable solutions to our customers. In this role, you'll: Lead the architecture, maintenance and development of serving cloud-native data ingest and aggregation processes that intake gigabytes of data per day Drive the delivery of features across our product suite that detect activities for market manipulation, fraud, behavioral patterning, and more Own and scale a high-performance services on AWS that handle thousands of requests per second Lead
the team's modernization efforts towards a streaming architecture, setting technical direction and best practices Own and drive the direction and enablement of our graphing platform, which is used across multiple products to drive and visualize understanding of our insights and data, both on and off the blockchains Debug and resolve production issues across multiple systems and services, guiding
