Site Reliability Engineer

LSEG•St. Louis, MO

About The Position

Our Team We are evolving our Reliability Engineering team to move beyond support and operations. As a Senior Engineer in Site Reliability, you will be part of a diverse and inclusive organization that has full ownership of the availability, performance, and scalability of one of the most critical shared services at LSEG. We are looking for people with a passion to learn, and who bring a continuous improvement mentality to our team!

Requirements

Bachelor's degree or equivalent experience in Computer Science or related technical field.
Proficiency in scripting languages (Shell, Python).
Experience maintaining Infrastructure as Code (IaC) using Terraform (or AWS CloudFormation, Azure ARM templates).
Hands-on experience with AWS services (EC2, S3, RDS, IAM, VPC, Lambda) and familiarity with Azure equivalents.
Knowledge of Docker and Kubernetes (EKS or AKS preferred).
Familiarity with observability tools like Datadog, AWS CloudWatch, or Azure Monitor.
Implement and maintain CI/CD pipelines (AWS CodePipeline, Azure DevOps, or similar).
Incident response and blameless postmortems.
Proficient in Git workflows.

Nice To Haves

2-5 years of proven experience.
Strong understanding of AWS Well-Architected Framework and Azure Architecture Center.
Experience with cloud security guidelines (IAM, KMS, Secrets Manager).
Familiarity with cloud-native databases (AWS RDS/DynamoDB, Azure SQL).
Knowledge of DevOps concepts and modern cloud-native architectures.

Responsibilities

Maintain Service Level Objectives (SLOs) for cloud-hosted systems, continuously measuring and improving availability, latency, and overall system health.
Design and implement automation for AWS and Azure environments to scale systems sustainably, prevent service issues, and enable rapid recovery.
Partner with development teams to improve reliability, observability, and release velocity using cloud-native tools and guidelines.
Participate in on-call rotations, incident response, postmortems, and root cause analysis.
Advocate for strong engineering practices for building, deploying, and running scalable, reliable services across AWS and Azure.
Enable cloud migration by performing architectural reviews, operational readiness testing, and configuring observability dashboards (e.g., Datadog integrated with AWS CloudWatch and Azure Monitor).
Drive continuous learning and development in multi-cloud technologies.