L
Listed on LSEG’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A hands-on senior role leading site reliability engineering initiatives across new and existing platforms within a financial services company. This suits experienced SREs who want to shape reliability foundations, mentor teams, and drive continuous improvement without formal people management responsibilities.
Our summary, not LSEG’s wording. The full posting is on their site.
Skills this role names
- Amazon Bedrock
- Amazon Web Services (AWS)
- AWS CloudFormation
- Azure Kubernetes Service (AKS)
- Cloud Security
- Datadog
- Elastic Stack (ELK)
- Generative AI
- Grafana
- Incident Management
- Kubernetes
- LLMs (Large Language Models)
- Microsoft Azure
- OpenTelemetry
- Prometheus
- Terraform
- Vector Databases
Log in to see which of these are already on your profile.
What they ask for
Required
- Bachelor's degree in Computer Science or related field
- 5+ years hands-on experience in SRE, Platform Engineering, Infrastructure, or related roles
- Strong experience with Azure including AKS, Azure Container Apps, Virtual Machines, VNet, and Azure Active Directory
- Hands-on experience with Kubernetes and containerized platforms
- Proven experience designing and operating observability platforms with monitoring, logging, and alerting
- Hands-on experience with Datadog for metrics, logs, APM, and alerting
- Strong understanding of SRE principles including SLOs, error budgets, and incident management
- Understanding of cloud security principles and experience collaborating with security teams
- Experience with cloud cost optimization strategies and tooling
Nice to have
- Experience or working knowledge of AWS
- Experience supporting multi-cloud or hybrid environments
- Exposure to Infrastructure as Code such as Terraform or CloudFormation
- Experience in large-scale, complex, or regulated environments
- Knowledge of vector databases and RAG architectures for building internal SRE knowledge assistants
- Knowledge of Generative AI and LLM platforms like Claude or Amazon Bedrock
- Experience integrating AI with observability stacks for proactive issue detection