Software Engineer – Distributed Market Data Systems (Python)
Posted about 1 month ago
Tick Data Platform is a new team building a globally distributed market data architecture.
The systems are being developed from the ground up and we’re looking for exceptional software engineers to join us in creating scalable and performant data platforms to support quantitative research and trading.
Your future role within QRT
- Greenfield development in a small and highly collaborative team
- Building cloud-native platforms for the distribution and processing of realtime tick data
- Architecting high throughput distributed systems with significant horizontal scalability
- Working with researchers and data scientists across QRT
Your present skillset:
- 4 years of software engineering experience
- Experience with distributed realtime systems
- Systems design and architecture
- Ability to write optimised and high throughput code
- Communication and teamwork, with an interest in building a strong engineering culture
Experience in these is advantageous but not required:
- Cloud-native platforms including Kubernetes
- Realtime platforms including Kafka
- High performance python tooling (numpy, numba, c++ and rust interoperability)
- Modern data tooling (polars, arrow, flight/grpc)
- C++ or Rust
- Market data
- SRE and DevOps
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Project leadership and stakeholder management
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all asset classes across the world. Driven by a shared passion for data, research, technology and trading expertise, we strive to deliver high-quality returns for our investors. Established in 2018, QRT can rely on its employees across 16 offices across the globe. We currently have multiple open positions on our website, please check and apply on line: https://www.qube-rt.com/careers/ QRT supports various coding initiatives as well as academic projects developing and promoting maths and science education. More information: https://www.qube-rt.com/commitments
Key team members

Manish Shah
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