Software Engineer – Distributed Market Data Systems (Python)
Our client is a leading quantitative trading and investment firm that leverages technology, data, and research to power systematic trading strategies across global financial markets.
They are building a next-generation Tick Data Platform from the ground up and are looking for exceptional software engineers to help create highly scalable, distributed systems that support quantitative research and trading.
The Opportunity
* Join a greenfield engineering initiative within a highly collaborative team
* Build cloud-native platforms for the distribution and processing of real-time market data
* Design and develop high-throughput distributed systems with significant horizontal scalability
* Work closely with researchers, data scientists, and engineers to deliver critical data infrastructure
* Help shape the architecture, engineering standards, and long-term direction of the platform
What We're Looking For
* 4+ years of software engineering experience
* Solid systems design and architecture skills
* Ability to write efficient, high-performance code
* Strong communication and collaboration skills
* Interest in helping build engineering culture within a growing team
Nice to Have
* Kubernetes and cloud-native technologies
* Kafka or other real-time streaming platforms
* High-performance Python tooling (NumPy, Numba)
* Modern data technologies such as Polars, Apache Arrow, Flight/gRPC
* C++ and/or Rust
* Market data or financial systems experience
* SRE, DevOps, or platform engineering experience
* Technical leadership or stakeholder management exposure
Why Join?
* Highly technical engineering environment
* Direct impact on research and trading infrastructure
* Opportunity to work alongside world-class engineers and quantitative researchers
* Competitive compensation and bonus structure
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