Real-Time Trading Systems Backend Engineer

iGamingRecruitment.io

Lisboa

Híbrido

EUR 60 000 - 75 000

Tempo integral

14 dias+

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Resumo da oferta

iGamingRecruitment.io is helping a Lisbon-based tech client hire a Back-End Engineer - Trading Systems to own the market making engine across exchanges. The role is hybrid, three days per week in the Lisbon office, with a full-time, permanent contract.

You will design, build, and scale real-time backend systems using Python, SQL, Node.js, and TypeScript, focusing on latency, throughput, and reliability in a trading environment. A collaborative, ownership-driven approach is essential.

Qualificações

  • 3–5 years of backend development experience.
  • Strong Python skills.
  • Solid experience with SQL, Node.js and TypeScript.
  • Demonstrable experience with real-time, streaming, WebSockets, or high-throughput systems.
  • Experience with Git and platforms such as GitHub or GitLab.
  • Self-directed, ownership-focused approach and cross-functional collaboration.

Responsabilidades

  • Design, build, and evolve backend systems for the market making engine across multiple exchanges.
  • Work on high-performance systems processing high-frequency data and live order flow.
  • Collaborate with odds feed API and API betting teams to ensure end-to-end pricing and execution consistency.
  • Participate in code review, testing, deployment, and maintain high engineering standards.
  • Take initiative on improvements and own parts of the trading systems.

Conhecimentos

Python
SQL
Node.js
TypeScript
WebSockets
Git

Ferramentas

Docker
AWS
GCP

Descrição da oferta de emprego

iGamingRecruitment.io is helping a Lisbon-based tech client hire a Back-End Engineer - Trading Systems to own the market making engine across exchanges. The role is hybrid, three days per week in the Lisbon office, with a full-time, permanent contract.

You will design, build, and scale real-time backend systems using Python, SQL, Node.js, and TypeScript, focusing on latency, throughput, and reliability in a trading environment. A collaborative, ownership-driven approach is essential.

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