Energy trading and renewable asset management platform across 25 markets
Second Foundation operates a trading and portfolio management platform for renewable energy and battery storage assets across 25 markets. The stack—Python, PyTorch, TensorFlow, Dagster, Spark, and Kubernetes—signals heavy quantitative modeling and large-scale data processing. Active projects span battery storage lifecycle management, flexibility portfolio sales, and post-acquisition integration, while pain points cluster around grid-balancing algorithms, infrastructure security, and scalable data foundations—typical pressures for a firm managing distributed physical assets at continental scale.
Second Foundation is a Prague-based energy technology company operating electricity trading, renewable production, battery storage, and flexible asset management across 25 markets spanning North America, Europe, and Asia. The business model combines proprietary trading algorithms with physical asset operations (battery systems, flexible devices) and portfolio management for distributed energy resources. The engineering-led hiring profile, concentrated in Python and quantitative frameworks, supports both real-time trading infrastructure and the data layers required to optimize asset dispatch. Recent projects include post-acquisition integration and expansion of battery storage operations, suggesting recent M&A activity and scaling of physical infrastructure alongside software.
Python, PyTorch, TensorFlow, Spark, Dagster, Kubernetes, React, TypeScript, GraphQL. Heavy emphasis on quantitative computing (NumPy, Pandas, Polars) and ML frameworks for trading and optimization algorithms.
Battery energy storage system projects, flexibility portfolio sales, post-acquisition integration, DMS administration, and new flexible device onboarding. Also managing project lifecycle, contract management, and grid-balancing systems.
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