Remote: Senior Backend Engineer — Fintech Payments & Temporal

Black Dragon Capital

United States

Remote

USD 120,000 - 190,000

Full time

8 days ago

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Job summary

DragonPay, a fintech startup for U.S. credit unions, is hiring a Senior Full Stack Engineer with a backend focus. You will design, implement, and operate transaction-processing workflows and platform services using TypeScript, NestJS, PostgreSQL, and Temporal.

You will collaborate with the technical lead to build reliable orchestration, secure REST APIs, and AI-assisted development practices while ensuring correctness, security, and fault tolerance across distributed systems.

Qualifications

  • Backend development with TS/Node.js in production.
  • Experience with NestJS and durable workflow systems.
  • Strong knowledge of distributed systems and data modeling.

Responsibilities

  • Design, develop, and maintain back-end applications and services using TypeScript, Node.js, and NestJS.
  • Build and maintain durable transaction‑processing workflows using Temporal.
  • Develop reliable orchestration across asynchronous operations, internal services, and external systems.
  • Design workflows that safely handle retries, timeouts, failures, interruptions, and recovery without duplicating financial transactions.
  • Develop automated testing for workflows, failure scenarios, recovery behavior, and service integrations.

Skills

TypeScript
Node.js
NestJS
Distributed systems
PostgreSQL
AWS
REST APIs
Git & CI/CD
AI-assisted development
Problem solving

Tools

Temporal
Docker
Kubernetes
Terraform
React

Job description

DragonPay, a fintech startup for U.S. credit unions, is hiring a Senior Full Stack Engineer with a backend focus. You will design, implement, and operate transaction-processing workflows and platform services using TypeScript, NestJS, PostgreSQL, and Temporal.

You will collaborate with the technical lead to build reliable orchestration, secure REST APIs, and AI-assisted development practices while ensuring correctness, security, and fault tolerance across distributed systems.

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