Details: Start: asap Duration: until 31.12.2026 (option for extention) Location: 100% remote Language: English Region: Europe only (outside DACH)!!!
Skills (must have):
Strong Python expertise combined with hands-on experience in trading or algorithmic trading
Practical experience with trading strategies, automated trading systems, or trading platforms
Previous exposure to energy trading, financial markets, or comparable trading environments
A combination of strong technical/programming skills and domain knowledge in trading
ReactJS and Java
Cloud Providers: Microsoft Azure
Docker, Kubernetes, Kafka
PostgreSQL, Redis
Microsoft Azure
Tasks:
User onboarding and platform readiness
Onboard new users onto the existing execution platform.
Configure required access, permissions, and operational setup.
Support user readiness for trading and monitoring workflows.
Programmatic interface and risk monitoring integration
Enhance the programmatic access layer of the execution platform.
Develop the interface between the execution platform and the internal risk monitoring tool.
Support automated data exchange between trading logic, execution components, and monitoring services.
Implement or support post-trade checks, monitoring logic, and relevant control calculations.
Advanced algorithmic trading capabilities
Support the development of advanced algorithms for the current execution platform.
Develop and integrate Python and Java backend applications with Azure services such as Azure Kubernetes Service, PostgreSQL, Redis, Kafka, Azure Machine Learning, and Azure DevOps.
Extend platform capabilities to support future algorithmic trading use cases.
Engineering collaboration and quality
Collaborate with architects, traders, product owners, and engineering teams to design scalable, efficient, and secure software solutions.
Ensure code quality and adherence to software development best practices, including documentation, version control, testing, and code reviews.
