Description
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 show how reliably and quickly market data reaches customers.
You will work with experienced engineers to develop production software, measure performance and enable observability of a globally distributed platform.
Prior market-data or observability experience is not required; we are looking for strong engineering fundamentals, curiosity and a willingness to learn.
Responsibilities
- Build and improve software components that aggregate, correlate and present data from over 30 global distribution sites.
- Develop applications and data-processing logic that help 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 that measure the performance and experience of Real-Time services from locations around the world.
- Develop APIs, automation and configuration used 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.
- Work 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 continues to evolve.
Requirements
- Hands-on software engineering experience, gained through employment, a graduate role, or open-source contribution.
- Ability to write and explain software in a performance-oriented languages such as Go, modern C++ or Rust.
- A good understanding of core software engineering concepts and an interest in building reliable, maintainable applications.
- Familiarity with APIs, Git and modern software development practices.
- An interest in one or more of the following areas: market data, observability, distributed systems, telemetry, data pipelines, real-time systems, performance engineering or cloud-native technology.
- Demonstrated analytical and problem-solving ability in complex engineering or academic domain.
- A willingness to learn unfamiliar technologies and develop knowledge of complex systems.
- Good communication and collaboration skills, with the ability to work effectively with engineers across different teams.
- 3-6 years of experience