Software Engineer – Distributed Market Data Systems
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 13h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 40d ago
The date the source published, not the day we noticed it (2026-08-06). Last seen at its source 1h ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
Hong Kong
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $73.8k–170.3k/yr
Middle 50% of 24 listings that do state pay — Engineering · all levels · APAC · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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greenhouse employer's own board first seen 6d ago · last seen 1h ago
The listing
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