Location
GBR-Nottingham-1 Chapel Qtr

Hours
Full Time

Salary
Negotiable

About the Role
As a Software Engineer in LSEG’s Real-Time Engineering organisation, you will work on a global low-latency market data platform that sends billions of price updates per day around the globe. You will build APIs, telemetry pipelines and synthetic monitoring services that demonstrate how reliably and quickly market data reaches customers. Working alongside experienced engineers, you will develop production software, measure performance and enable observability of a globally distributed platform. This hands-on development role is ideal for engineers at an early stage of their career who want to gain experience in mission-critical distributed systems, observability, cloud-native engineering and real-time financial technology. You will contribute to software that aggregates telemetry from individual applications and services, helping engineering and operations teams understand service health, performance and customer impact. You will also help turn software signals and synthetic monitoring data into useful end-to-end insights across LSEG’s Real-Time platform.

What You’ll Be Doing
Build and improve software components that aggregate, correlate and present data from over 30 global distribution sites. Develop applications and data-processing logic to identify performance issues, service degradation and hotspots across distributed systems. Contribute to telemetry pipelines that ingest, transform and route metrics, logs and traces into a common observability layer. Deliver synthetic monitoring capabilities measuring the performance and experience of Real-Time services worldwide. Develop APIs, automation and configuration to manage observability services and capabilities. Use Git, CI/CD and configuration-as-code practices to deploy and maintain software and observability assets consistently across environments. Collaborate with engineering squads to add and improve instrumentation within applications across Development, Test, PPE and Production environments. Work alongside expert engineers to learn modern approaches to observability, distributed systems, cloud-native software and real-time data platforms. Contribute ideas and improvements as the Real-Time observability platform evolves.

About London Stock Exchange Group (LSEG)
LSEG is a diversified global financial markets infrastructure and data business with over 300 years of history. Headquartered in the UK, we operate in 65 countries with 25,000 employees worldwide. Our values of Integrity, Partnership, Excellence and Change guide everything we do. We are committed to fostering an inclusive culture where everyone can grow, develop and fulfil their potential. We support sustainability and community engagement through initiatives like the LSEG Foundation. Joining LSEG means being part of a dynamic organisation that values innovation, quality and continuous improvement.

Experience
3-6 years of hands-on software engineering experience gained through employment, graduate roles or open-source contributions. Ability to write and explain software in performance-oriented languages such as Go, modern C++ or Rust. Familiarity with APIs, Git and modern software development practices. Demonstrated analytical and problem-solving skills in complex engineering or academic domains.

About You
Strong engineering fundamentals with curiosity and a willingness to learn. Interest in market data, observability, distributed systems, telemetry, data pipelines, real-time systems, performance engineering or cloud-native technology. Good communication and collaboration skills with the ability to work effectively across teams. Willingness to learn unfamiliar technologies and develop knowledge of complex systems.

Desirable
Exposure to any of the following is advantageous but not required: financial markets, market data or other real-time or latency-sensitive systems; metrics, logging, distributed tracing or observability platforms; OpenTelemetry SDKs, collectors or telemetry standards; Kubernetes, containers or cloud platforms; data-processing, event-streaming or telemetry-pipeline technologies; CI/CD, GitOps or configuration-as-code approaches; synthetic monitoring, automated testing, probes or distributed agents.