twentyAI
Senior Systems Engineer
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Senior Systems Engineer – Market Data Observability & Latency Platform
Location: London
Working Pattern: Hybrid – 3 days onsite per week
About the Role
We are seeking a senior systems engineer to join an exciting greenfield initiative within one of the world’s largest market data platforms. You will work at the heart of a globally distributed environment, building the capability to monitor, measure, and understand market data performance across 40+ global data centres.
The role focuses on synthetic testing, latency measurement, and building the aggregation layers required to transform large-scale performance data into meaningful global latency maps and health insights.
You will work across complex, low-latency systems where scale, reliability, and real-time visibility are critical.
Key Responsibilities
- Design and build systems to support globally distributed synthetic testing of market data flows across 40+ data centres
- Develop aggregation layers to collect, process, and unify latency data from multiple sources
- Create global latency views and health dashboards to provide end-to-end visibility of market data performance
- Work with large-scale, distributed data sets to identify performance bottlenecks and improve system observability
- Collaborate with engineering teams to improve monitoring, diagnostics, and operational insight across critical platforms
- Contribute to the architecture and development of a new capability from the ground up
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Required Experience
- Strong background building latency-sensitive, high-performance systems at scale
- Experience working with globally distributed systems, real-time platforms, or large-scale data infrastructure
- Working knowledge in one or more systems programming languages:
- Go
- Rust
- C++
- Strong in one of the following scripting languages: Python, Java, or Typescript
- Experience handling large volumes of data and building scalable aggregation or processing pipelines
- Strong understanding of system performance, latency measurement, and optimization techniques
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Ideal Backgrounds
Candidates may come from environments such as:
- Real-time streaming platforms (Kafka, Flink, Spark Streaming)
- Time-series data platforms
- Low-latency databases or graph-based systems
- High-frequency trading or electronic trading environments
- Large-scale distributed infrastructure companies
- Online advertising / bidding platforms where latency and scale are critical
What Makes This Role Different
This is not a pure C++ engineering role. The successful candidate will be a technically versatile engineer who understands how complex systems behave at scale and can work across different technologies to solve challenging performance problems.
You will be joining a greenfield project focused on improving visibility into one of the world’s largest market data ecosystems — giving you the opportunity to shape a platform that sits at the centre of global financial markets.
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