Senior Engineer - Site Reliability Engineering

About the role

LSEG is evolving its Site Reliability Engineering capabilities within its Markets and Risk Intelligence division. As a Senior SRE you will be a hands-on technical expert who helps build the foundations of reliability across new and existing platforms, working with Architecture, Engineering, Security and Platform teams. It is not a people-management or shift-based role, but 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.
• Define, implement 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 expectations.
• Ensure smooth handovers from project delivery into BAU SRE operations, with documentation and operational practices.
• Mentor engineers, shape engineering standards and foster a culture of learning.

Required profile

• Bachelor's degree in Computer Science or a related field.
• 5+ years of hands-on technical experience in SRE, Platform Engineering, Infrastructure or similar roles.
• Strong technical authority, able to influence design and operational decisions.
• Collaborative, calm and methodical under pressure, pragmatic problem-solver, clear communicator.

Required skills

• Strong experience with Azure (AKS, Azure Container Apps, VMs, VNet, Entra ID, managed services).
• Kubernetes and containerized platforms.
• Observability platforms, including Datadog for metrics, logs, APM and alerting.
• SRE principles: SLOs, error budgets, incident management.
• Cloud security principles and cost optimization.
• Nice to have: AWS, multi-cloud or hybrid environments, IaC (Terraform, CloudFormation), vector databases, RAG, Generative AI and LLM platforms, and AI integration with Prometheus, Grafana, ELK and OpenTelemetry.