Description

Software Engineer - Distributed Market Data Systems


We are partnering with a leading hedge fund to build out a greenfield Tick Data Platform, focused on designing a globally distributed, low-latency market data system from first principles.

Role

• Design and implement distributed, event-driven systems for real-time market data ingestion and dissemination
• Build low-latency streaming pipelines handling high message volumes (ticks, order book updates)
• Develop horizontally scalable architectures with strong guarantees around reliability and data integrity
• Work on in-memory processing, batching, and efficient serialization strategies to optimise performance
• Collaborate with quant teams to deliver data abstractions and access patterns for research and execution

Profile

• Strong academic background in Computer Science from a top-tier university, with demonstrated excellence through honours such as Dean's List and participation in high-level competitive programming (e.g. ICPC, Codeforces)
• Strong experience with distributed systems (e.g. partitioning, replication, consensus, fault tolerance)
• Hands-on exposure to real-time streaming architectures (Kafka, pub/sub systems, or custom event pipelines)
• Experience building high-throughput systems (networking, I/O, backpressure handling, load distribution)
• Language-agnostic - all backend languages considered (Python, Java, Scala, C++, Rust, etc.), with the team currently leaning towards Python

Nice to have

• Experience with market data protocols or tick data processing pipelines

For a confidential discussion, please apply.