Senior Full Stack Engineer

6 days ago


Bengaluru, India Marketnode Full time

What is Marketnode?

Marketnode is a digital market infrastructure (DMI) operator backed by Euroclear, HSBC, SGX Group, and Temasek. We believe in the power of programmable assets and that traditional financial instruments will originate, transact, and serve better by leveraging emerging technologies such as blockchain and AI.

At Marketnode, its DMI suite covers the following:

  • Data services: AI-powered structured data and extraction tools
  • Funds & transaction management: operating Fundnode, a funds transaction management and settlement platform
  • Digital Assets: multi-asset tokenization, record keeping, and asset servicing

What is the role?

We're seeking a Senior Full Stack Engineer (TypeScript) to join our product team and work closely with stakeholders across the business to evolve Marketnode's tokenisation platform — spanning event-driven backend services and high-performance React frontends. This is a hands-on role for someone who thrives on end-to-end ownership and enjoys building in a fast-paced, collaborative environment.

Responsibilities

In this role, you will:

  • Design and implement features on our growing tokenisation platform in TypeScript.
  • Build responsive frontends using React and
  • Contribute to architectural design decisions.
  • Improve developer experience across our codebases.
  • Collaborate with cross-company teams on product shaping and delivery.
  • Uphold a strong testing and documentation culture.
  • Help establish engineering best practices as an early technical hire.

Attributes

We are looking for a Senior Full Stack Engineer (TypeScript) with the following:

  • 3+ Years Experience with the Core Technology Stack: TypeScript (React, NodeJS), Express, NextJS, Event systems (SQS, SNS), Cloud infrastructure (Containers, FaaS, CORS) and RDBMS.
  • Experience in regulated finance, fintech, or payments organizations.
  • Blockchain development experience (EVM, Solidity, Rust).
  • Familiarity with data segregation and data protection considerations.
  • Experience with Infrastructure as Code, CI/CD, observability tooling (e.g. Datadog).


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