Building autonomous systems that will dynamically allocate liquidity on the Kalshi Exchange, based on the outputs from the forecasting models and algorithms. Working on performance, and ensuring the systems are operating reliably and with low latency. Retrieving, organizing, storing, and exposing data from the Kalshi Exchange as well as from a variety of external data sources. Working with the research team to implement the forecasting models and algorithms they develop in scalable and efficient ways. Maintaining an organized record of all of the trades executed by the market maker.

Reporting to the Practice Manager, the Delivery Architect will oversee and/or initiate solution direction for Clariti implementations. They will support or lead technical discovery and analysis workshops, recommend strategy and proposed architecture, and provide direction for 3rd party integration and data conversion.

You will be a member of EQ’s Science Platform team. Our Science Platform enables internal data scientists, as well as external customers, to develop, experiment with, deploy, and monitor forecasting and optimization models at scale. We sit between our data and infra engineers and our scientists - developing frameworks for model development that are both robust and efficient to iterate within. We help bring the algorithmic capabilities of our scientists to a broad range of customer energy applications.

You will be part of a multidisciplinary team of developers, designers, data scientists, and business professionals working on Varicent Incentives, a single-page web application utilizing React and Redux frameworks that connects to a REST API written in C#, hosted in AWS. You will build new features for the REST API & enhance the AWS infrastructure using C# and AWS CloudFormation.