Senior Backend Engineering
Float Technologies
We're building the platform for the next evolution of financial services.
We're a small team that came from trading, quant, and engineering roles at tier one financial institutions who were previously responsible for creating some of the most innovative products in the market. We are now building a platform which can process the most complex transactions executed across financial markets. We are building this right: delightful experience, modern stack, AI-native architecture.
Our clients are the most sophisticated banks, hedge-funds, and asset managers in the world. We are cloud-native employing serverless compute and IAC by design, with services written in both Python and Java. We leverage the latest foundation models and AI tooling, with a front end based on Typescript / React.
We have a fully automated SDLC utilizing Github, Logfire, Vercel and other technologies for rapid and continuous intraday deployment.
About the Role In this role, you will build core services across our product offering, helping define and deliver the technology that powers our platform. This role is ideal for someone who enjoys building for performance and scale, taking ownership, working in a fast-moving environment, and contributing to the growth of a company shaping the future of institutional finance.
Requirements Bachelor’s degree in Computer Science, Engineering, Mathematics, Financial Engineering, or a related field
This role is based in-person at our NYC office
Strong proficiency in Python; knowledge of Java is a plus
Experience working with NoSQL databases, such as MongoDB or DynamoDB
Familiarity with cloud infrastructure and deployment tools (CDK, Terraform) and cloud providers (e.g., AWS, GCP, Azure)
Strong understanding of software design principles
Bonus Qualifications Experience building or integrating Generative AI solutions (OpenAI, Anthropic, Gemini) for financial applications
Familiarity with financial products and ideally complex derivatives
Experience with trading, pricing, or risk systems
Knowledge of financial market and reference data
Understanding of data management and analytics
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