Technical Lead - Site Reliability Engineering

About the role

LSEG is evolving its Site Reliability Engineering capabilities within its Markets and Risk Intelligence division. As Technical Lead SRE, you will be a senior hands-on technical person who helps shape the foundations of reliability across new and existing platforms, working with Architecture, Engineering, Security and Platform teams. You will work closely with global teams and may be called on for major incidents.

Key responsibilities

• Lead the establishment of SRE foundations for new projects: environments, monitoring, alerting and operational readiness from day one.
• Embed reliability, scalability, security and observability into system design with Architecture and Engineering teams.
• Define and champion observability standards, tooling and guidelines across metrics, logs, traces and SLIs/SLOs.
• Design and evolve monitoring and alerting solutions that reduce toil and improve system health.
• Drive reliability improvements through incident reduction, performance tuning and resilient patterns.
• Partner with Security teams on compliance, security and risk management.
• Ensure smooth handovers from project delivery to BAU SRE operations.
• Influence design through data-driven cloud cost optimisation.
• Mentor engineers, shape engineering standards and foster a culture of learning.

Required profile

• Bachelor's degree in Computer Science or a related field.
• 10+ years of hands-on technical experience in SRE, Platform Engineering, Infrastructure or related roles.
• Strong technical authority, calm and methodical under pressure, pragmatic problem-solver and clear communicator.

Required skills

• Azure (AKS, Azure Container Apps, VMs, VNet, managed services) and Kubernetes.
• Linux administration and observability platforms (monitoring, logging, alerting).
• Datadog for metrics, logs, APM and alerting.
• SRE principles: SLOs, error budgets, incident management.
• Cloud security and cloud cost optimisation.
• Integrating AI with observability stacks (Prometheus, Grafana, ELK, OpenTelemetry).
• Good to have: AWS, Terraform, vector databases, RAG, and generative AI platforms.