Senior Systems Engineer

eFinancialCareers; Greater London; On-site; GBP 111,000 - 203,000; Full time

Job summary

eFinancialCareers in London is seeking a Senior Systems Engineer to join a greenfield initiative on a world-scale market data platform. You will help build the capability to monitor, measure and understand performance across 40+ global data centres.

The role focuses on synthetic testing, latency measurement and large-scale data aggregation, transforming performance data into global latency views and actionable health insights, with a strong emphasis on Go, Rust, C++ and real-time pipelines.

Qualifications

• Experience building high-performance, latency-sensitive systems at scale.
• Background in globally distributed, real-time systems or large-scale data infrastructure.
• Strong experience with Go, Rust or C++ and proficiency in Python/Java/TypeScript.

Responsibilities

• Build systems for globally distributed synthetic testing of market data flows.
• Develop aggregation layers to process large-scale latency data.
• Create global latency views and health dashboards.
• Analyse distributed data to identify performance bottlenecks.
• Improve monitoring, diagnostics and operational visibility.
• Contribute to architecture and development of a new platform from scratch.

Skills

Go

Rust

C++

Python

Java

TypeScript

Job description

Contract Details:

• Duration: 6 months (likely to extend!)
• Location: London - 3 days onsite per week
• Contract engagement: Inside IR35
• Budget: To be discussed with suitable candidate

Role:

We are seeking a Senior Systems Engineer to join a greenfield initiative within one of the world's largest market data platforms. You'll help build the capability to monitor, measure and understand market data performance across 40+ global data centres.

The role focuses on synthetic testing, latency measurement and large-scale data aggregation, transforming performance data into global latency views and actionable health insights.

Key Responsibilities:

• Build systems for globally distributed synthetic testing of market data flows.
• Develop aggregation layers to process large-scale latency data.
• Create global latency views and health dashboards.
• Analyse distributed data to identify performance bottlenecks.
• Improve monitoring, diagnostics and operational visibility.
• Contribute to the architecture and development of a new platform from the ground up.

Required Experience:

• Experience building high-performance, latency-sensitive systems at scale.
• Background in globally distributed, real-time systems or large-scale data infrastructure.
• Strong experience with Go, Rust or C++.
• Proficiency in Python, Java or TypeScript.
• Experience handling large data volumes and building scalable processing pipelines.
• Strong understanding of system performance, latency measurement and optimisation.

Ideal Background:

Experience in areas such as:

• Real-time streaming platforms
• Time-series data platforms
• Low-latency databases or graph systems
• High-frequency or electronic trading
• Large-scale distributed infrastructure