Senior Backend Engineer

Float; New York (NY); Hybrid; USD 140,000 - 200,000; Full time

Job summary

A financial technology company in New York, NY is seeking a qualified Engineer to enhance their core services. Candidates should have a Bachelor's degree in a related field and proficiency in Python, as well as experience with NoSQL databases. The role involves designing features for real-time systems and offers an opportunity to shape the future of institutional finance in a fast-moving environment.

Qualifications

• Strong proficiency in Python; knowledge of Java is a plus.
• Experience with cloud infrastructure and deployment tools.
• Strong understanding of modern software design principles.
• 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 modern SDLC
• Strong understanding of software design principles
• Excellent problem-solving and communication skills

Responsibilities

• Build core services across the product offering.
• Design and engineer features for real-time systems.
• Contribute to the growth of a company in finance.

Skills

Python

NoSQL databases

Cloud infrastructure

Problem-solving

Communication skills

Education

Bachelor’s degree in Computer Science or related field

Tools

MongoDB

DynamoDB

CDK

Terraform

AWS

GCP

Azure

Job description

The OTC derivatives market moves trillions of dollars daily on infrastructure that hasn't fundamentally changed in decades. 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. The problems are extremely hard, the scale is massive, and we're creating infrastructure that will define how this market operates for decades to come.

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 is a hands-on role where you will spend your time designing and engineering features for real-time systems which our clients rely on around the clock. 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 modern SDLC
• Strong understanding of software design principles
• Excellent problem-solving and communication skills

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
• Prior experience working with institutional clients or within capital markets