Senior Backend Developer for Hybrid Trading System

2 weken geleden


Amsterdam, Noord-Holland, Nederland TradAI - automated hybrid trading system solution Voltijd

About TradAI

We are a leading provider of automated hybrid trading system solutions. Our team is dedicated to developing innovative AI-driven technologies that empower traders to make informed decisions.

Job Description

We are seeking an experienced Senior Backend Developer to join our team. The successful candidate will be responsible for designing, developing, and optimizing the backend infrastructure for our hybrid trading system.

  • Main Responsibilities:
  • Design and develop scalable pipelines and backend services for ETL, training, evaluation, monitoring, versioning, and deploying new ML models and trading algorithms.
  • Implement secure, scalable APIs and microservices.
  • Collaborate with data scientists/financial experts to integrate ML models into production.
  • Evaluate and improve system reliability and low-latency performance for trading applications.

Requirements

  • Must-Have Qualifications:
  • Bachelor's degree or higher in Computer Science, Software Engineering, or related fields.
  • Fluent English (C1-C2).
  • 5+ years of professional software development experience focusing on cloud-based systems and modular, scalable architectures.
  • Well-developed software engineering skills, including use of proper development, documentation, QA, and production environments, object-oriented programming, design patterns, and version control.
  • Proficiency with version control systems like GitHub and bug/work tracking systems like JIRA.
  • Understanding of cloud technologies (AWS) and DevOps principles.
  • Familiarity with containerization and orchestration tools such as Docker and Airflow/Dagster/Prefect.
  • Familiarity with integrating AI/ML models into cloud-based software with MLOps understanding (MLflow).

Nice-to-Have Qualifications:

  • Experience in financial systems or cryptocurrency trading platforms.
  • Knowledge of algorithmic trading, forecasting models, and ML concepts.
  • Demonstrated experience with the full ML lifecycle: data engineering, training, deployment, monitoring, and governance.

Important Note:

  • Only candidates meeting the must-have qualifications will be considered. Please do not apply if you lack the required skills.


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