Senior Software Engineer (Real-Time)
Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Sep 19, 2026. London Stock Exchange scores B on the Alion truth index.
Join LSEG's Real-Time Engineering organization as a Senior Software Engineer. In this role, you will work on a global low-latency market data platform, building APIs, telemetry pipelines, and synthetic monitoring services. You will collaborate with experienced engineers to develop production software, measure performance, and enable observability of a globally distributed platform. This is a hands-on development role for an engineer at an early stage of their career who wants to gain experience in mission-critical distributed systems, observability, cloud-native engineering, and real-time financial technology.
Missions
- Contribuer au développement d'API, de pipelines de télémétrie et de services de surveillance synthétique pour mesurer la fiabilité et la rapidité des données de marché.
- Participer à la construction et à l'amélioration de composants logiciels qui agrègent, corrèlent et présentent des données provenant de plus de 30 sites de distribution.
- Collaborer avec des équipes d'ingénierie pour ajouter et améliorer l'instrumentation au sein des applications dans différents environnements.
Profil recherché
- 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
- A willingness to learn unfamiliar technologies and develop knowledge of complex systems
- 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
- 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
- Demonstrated analytical and problem-solving ability in complex engineering or academic domain
- Good communication and collaboration skills, with the ability to work effectively with engineers across different teams
- Metrics, logging, distributed tracing or observability platforms
- Financial markets, market data or other real-time or latency-sensitive systems
- OpenTelemetry SDKs, collectors or telemetry standards
- Kubernetes, containers or cloud platforms
- CI/CD, GitOps or configuration-as-code approaches
- Data-processing, event-streaming or telemetry-pipeline technologies
- Synthetic monitoring, automated testing, probes or distributed agents