This article describes a backend engineer role focused on designing and developing databases for real-time, high-availability financial data. It summarizes the technical stack—MongoDB, Redis, JavaScript, Node.js and Go/Golang—and the core responsibilities such as architecting backend web services, creating microservices, managing AWS servers, and producing reports. It also outlines required fundamentals and preferred domain interests.
Role overview
The role centers on backend engineering for financial data that must be real-time and highly available. Work includes database design and development and building backend components that support continuous, reliable data access.
Technologies mentioned for the role include MongoDB, Redis, JavaScript, Node.js and Go/Golang.
Key responsibilities
- Design and develop databases tailored for real-time, high-availability financial data.
- Architect and build backend web services using Node.js and related frameworks.
- Create microservices and internal tools to support system functionality.
- Manage servers on AWS to deploy and operate services.
- Produce reports related to backend systems and data.
Required skills and system expectations
Strong systems, architecture and database fundamentals are required. Prior experience with Node.js and MongoDB is expected, along with an understanding of REST APIs and server architecture.
Working with real-time, high-availability financial data implies designing for responsiveness and resilience in system and database architecture.
Product and domain interest
There is a preference for candidates who enjoy building products from scratch and who have an interest in the financial or stock market space. This role suits engineers who want end-to-end involvement in product and system design within the financial data domain.
In summary, the position is a backend engineering role focused on database and service design for real-time, highly available financial data. The role uses MongoDB, Redis, JavaScript, Node.js and Go/Golang; involves architecting services, building microservices, managing AWS servers and producing reports; and requires strong fundamentals, prior Node.js and MongoDB experience, REST API and server architecture understanding, and a preference for building products and interest in the financial market.
