Lead C++ Observability Engineer

About the role

Drives the strategy, design, and hands-on implementation of observability across all Real-Time Collections squads. The role focuses on measuring and optimising customer experience of exchange data, embedding observability as a core engineering practice within applications and builds, and providing guidance and expert consultancy throughout the development lifecycle.

Responsibilities

• Lead the implementation of the Real-Time Unified Observability roadmap for Real-Time Collections and Contributions, laser-focused on ensuring customer experience is measurable, visible, and continuously improved.
• Hands-on C++ development in a low-latency environment.
• Work hands-on with Collections squads to embed "Observability as a Practice" throughout the software development lifecycle, supporting engineers to observe their software in Dev, Test, PPE, and Prod.
• Guide teams in building customer-centric SLIs and insight dashboards that reflect timeliness, completeness, accuracy, and stability of market data.
• Establish repeatable GitOps/API-driven workflows for observability assets within build pipelines, ensuring consistent deployment and versioning.
• Influence platform architecture and reliability decisions across Collections, ensuring observability considerations are baked into design early.

Requirements

• Base technical proficiency in C++ in order to engage with full-time developers.
• Deep experience with observability engineering such as distributed tracing and real-time metrics pipelines.
• Excellent leadership skills: able to coach teams, influence engineering culture, and drive cross-team alignment.
• Strong analytical mindset for diagnosing complex distributed-system behaviours and customer impact.
• Effective communicator with the ability to simplify system performance concepts for broader stakeholders.

Preferred Qualifications

• Strong background in SLI/SLO design, especially for latency-sensitive or market data systems.
• Ability to design and deliver end-to-end telemetry solutions across multiple teams and services.
• Skilled in cloud-native, containerized, and Kubernetes environments.
• Proficiency with API- and GitOps-based workflows, config-as-code, and automated telemetry promotion.
• Experience with eBPF diagnostic capabilities like tracing, network performance, and app profiling.

About the company

London Stock Exchange Group (LSEG) is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies, and enabling customers to create sustainable growth. We value innovation, quality, and continuous improvement, with a culture built on integrity, partnership, excellence, and change.

You will be part of a dynamic organisation of 25,000 people across 65 countries, where individuality is valued, and collaboration is encouraged. We are committed to sustainability and partner with customers to help them meet their sustainability objectives. The LSEG Foundation provides charitable grants to community groups supporting economic opportunities and financial independence, with colleagues encouraged to participate in fundraising and volunteering.