Senior Softwareentwickler/Senior Software Developer (w/m/d) in England

These organizations operate at the absolute bleeding edge of technology, treating the global financial markets as a complex data science problem. They are deploying massive compute clusters and proprietary machine learning models to trade billions of dollars daily.

• Architect Low-Latency Infrastructure: Design and implement the critical path for trading execution, building order management systems and market connectivity layers where performance is measured in microseconds.
• Scale Data Pipelines: Engineer elegant, distributed systems capable of ingesting and processing petabytes of market and alternative data, ensuring absolute consistency for research teams.
• Operationalize Machine Learning: Bridge the gap between research and production by deploying complex ML models into live environments under strict latency constraints.
• Optimize the Stack: Go 'close to the metal' to optimize performance across networking, I/O, and compute layers, squeezing maximum efficiency out of hardware.
• Polyglot Mastery: Exceptional command of at least one major systems language (C++, Rust, Java) for low-latency components, or Python for data and ML workflows.
• Distributed Systems Expertise: Deep experience building high-throughput, fault-tolerant systems using modern messaging standards.
• Systems-Level Intuition: You are comfortable debugging and profiling at the OS level, understanding memory management, CPU architecture, and network stack optimization.
• Data Infrastructure: Familiarity with the modern data stack, including time-series databases, object stores, and streaming frameworks like Apache Flink or Spark Streaming.
• Bonus - ML Engineering: Experience with model serving, feature stores, or integrating ML pipelines into live production systems is highly valued.