Design an internal platform for quantitative researchers to perform large-scale historical backtesting. The system must allow users to submit custom Python-based strategy code, execute these jobs in parallel across a scalable compute fleet, and ensure strict resource isolation and security for untrusted code execution. Consider how to efficiently manage and serve terabytes of historical market data while providing comprehensive performance reporting and job lifecycle tracking.