Site Reliability Engineer III

About the role

Are you passionate about building resilient cloud platforms and improving service reliability at scale?

Do you enjoy solving complex operational challenges while driving automation, observability, and continuous improvement across modern cloud environments?

About the Business

LexisNexis® Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/

About our Team

Our SRE team sits at the intersection of software engineering, cloud platforms and operations, helping keep critical Business Systems reliable, secure and scalable. We automate wherever possible, improve observability and resilience, and modernise the platforms our services run on. It’s a broad engineering environment where the team gets to solve real operational problems while shaping how services are built and run.

About the Role

The Site Reliability Engineer III is responsible for improving the reliability, scalability, security and operational maturity of cloud-hosted platforms and services. The role combines software engineering, platform engineering and operational support practices to ensure business-critical systems remain resilient, observable and efficient. The engineer will work closely with application, infrastructure, security and operations teams to deliver automation, observability, cloud platform improvements and reliability initiatives.

Responsibilities

• Support highly available production services and participate in on-call and major incident response.
• Investigate incidents and service degradation, lead recovery efforts, and develop Root Cause Analyses (RCAs) with corrective actions.
• Participate in disaster recovery, failover, resilience testing, operational readiness reviews, and post-incident improvements.
• Identify recurring issues and drive improvements in reliability, scalability, and operational efficiency.
• Design, build and operate AWS ECS (Fargate) platforms and lead migrations of workloads from EC2/VMs to containers.
• Deliver container and supply chain security improvements, including hardened base images, image scanning, vulnerability remediation, and secure CI/CD pipelines, in partnership with InfoSec.
• Support cloud-native workloads across AWS and Azure, including Kubernetes-based platforms.
• Develop automation, Infrastructure-as-Code solutions, and CI/CD improvements to enhance reliability and developer productivity.
• Partner with development, infrastructure, database, security, and operations teams to promote operational excellence and continuous improvement.

Requirements

• Strong hands-on experience with AWS cloud environments; Azure experience is a plus.
• Experience with AWS services including ECS/Fargate, ECR, EKS, ECS, EC2, RDS, S3, IAM, Route 53, and Load Balancing.
• Strong knowledge of containers, Kubernetes, containers, cloud networking, IAM/RBAC, and distributed systems.
• Proficiency with Terraform and Infrastructure-as-Code practices.
• Experience with GitHub Actions, Azure DevOps, or equivalent CI/CD tooling, including GitOps practices.
• Experience securing container workloads, such as image hardening, vulnerability scanning and remediation, secrets management, or meeting security and compliance controls.
• Experience with observability platforms and technologies such as Grafana, Prometheus, OpenTelemetry, distributed tracing, and centralized logging.
• Strong incident management skills, including technical recovery, RCA facilitation, and corrective actions.
• Experience with Linux administration and scripting using Python, PowerShell, or Bash.







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