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Fullstack Python Developer (Financial Technology)

Dublin, D, IE

15 days ago
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Summary

Full Stack Developer (Python & React) – Financial Technology

Location: Dublin, Ireland (Hybrid)



The Opportunity

Are you a highly skilled Full Stack Developer with a passion for finance, data, and cutting-edge technology? We are seeking a talented professional to build innovative investment products, develop high-performance applications, and shape the future of financial technology.

You'll be part of a fast-growing, dynamic team, developing platforms that handle complex financial data, ensuring optimal user experience (UI/UX), and deploying scalable, high-quality software. If you enjoy working in a fast-paced environment where your work directly impacts investment solutions, this role is for you!



What You’ll Do

  • Develop and optimize front-end and back-end applications using Python (Django, FastAPI) and React.
  • Work with complex financial datasets, ensuring data integrity and usability.
  • Apply UI/UX design principles to create intuitive, high-performance applications.
  • Build and manage containerized applications using Docker and Kubernetes.
  • Configure and manage Linux-based development and production environments.
  • Design, adapt, and maintain database models to meet evolving business needs.
  • Deploy applications in cloud-native environments, ensuring scalability and reliability.
  • Contribute new ideas and innovative solutions to the development roadmap.



What We’re Looking For

  • 5+ years of experience in Full Stack Development with expertise in Python (Django, FastAPI) and React.
  • Strong front-end development experience, ensuring excellent UI/UX.
  • Experience with containerization (Docker, Kubernetes) and Linux services.
  • Solid knowledge of database design, management, and optimization.
  • Strong analytical, problem-solving, and communication skills.
  • Experience working in an Agile environment with Git-based version control.
  • A self-driven mindset with the ability to work autonomously and collaboratively.



Nice to Have

  • Experience with financial systems or investment platforms.
  • Knowledge of data modeling and structured finance data.

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