Software Engineer – Distributed Market Data Systems
A leading global quantitative investment firm is seeking a Software Engineer to join a newly established team building a next-generation market data platform.
This is a rare opportunity to work on a greenfield project developing globally distributed, high-performance systems that support real-time data processing and quantitative research at scale.
What You'll Be Doing
* Designing and building cloud-native platforms for processing and distributing real-time data
* Developing high-throughput, low-latency distributed systems
* Architecting scalable infrastructure capable of handling large volumes of streaming data
* Collaborating closely with researchers, data scientists, and engineers across the business
* Contributing to the technical direction of a brand-new platform from the ground up
What We're Looking For
* 4+ years of software engineering experience
* Strong experience with distributed systems and scalable architectures
* Background building real-time, event-driven, or streaming data platforms
* Experience writing high-performance, production-grade code
* Excellent communication and collaboration skills
Nice to Have
* Kafka or similar streaming technologies
* Kubernetes and cloud-native infrastructure
* Python, Java, Scala, C++, or Rust
* Modern data technologies such as Arrow, Polars, Flight/gRPC
* Market data or financial systems experience
* SRE, DevOps, or platform engineering experience
Why Apply?
* Greenfield engineering environment
* Significant ownership and technical influence
* Complex distributed systems challenges at scale
* Work alongside world‑class researchers and engineers
* Top‑of‑market compensation package
Candidates from technology companies, fintechs, data infrastructure teams, and high‑scale distributed systems environments are encouraged to apply.
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