About Clear Street:
Clear Street is modernizing the brokerage ecosystem. Founded in 2018, Clear Street is a diversified financial services firm replacing the legacy infrastructure used across capital markets.
We started from scratch by building a completely cloud-native clearing and custody system designed for today’s complex, global market. Our platform is fully integrated with central clearinghouses and exchanges to support billions in trading volume per day. We’ve agonized about our data model abstractions, created horizontal scalability, and crafted thoughtful APIs. All so we can provide a best-in-class experience for our clients.
By combining highly-skilled product and engineering talent with seasoned finance professionals, we’re building the essentials to compete in today’s fast-paced markets.
The Role:
As an experienced Full Stack Software Engineer you will help build our Equity Swaps team. You will tackle non trivial problems that force you to balance trade offs while implementing clean and efficient solutions. You will raise our bar on providing clean and efficient solutions that delight and offer the best experience for our customers. You will push our operational standards and ensure that we are able to offer and maintain a high SLA.
This role is deeply involved with engineering the Total Return Swaps platform for our varied client base including hedge funds, traders and portfolio managers.
The Team:
As a member of our Swaps Engineering Team, you will play an integral part in the design and development of our Swaps platform and also enhance the client facing Studio, which is our flagship product.. We are looking for someone who is passionate about solving complex business and technical problems with traditional and emerging technologies. You will collaborate with fellow engineering team members, product managers and business users in an agile/iterative environment.
Tech Stack: React, Typescript, Java/Spring Boot,PostgreSQL, gRPC, Kafka, Docker, Kubernetes, AWS.
Requirements
Desired Qualifications:
We Offer: