Site Reliability Engineer: Cloud Infra & Automation

LexisNexis Risk Solutions; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

LexisNexis Risk Solutions is seeking a Site Reliability Engineer to design, build and operate cloud infrastructure across AWS and Azure. The role emphasizes infrastructure as code, automation and platform reliability.

You will manage Kubernetes clusters, implement CI/CD pipelines and ensure observability, security and cost efficiency while partnering with engineering teams to improve operational excellence.

Qualifications

• Experience building cloud infrastructure as code across AWS/Azure.
• Hands-on Kubernetes administration in production.
• Proficient in CI/CD pipelines and automation.
• Strong observability, monitoring, and incident response.
• Proficiency with Terraform or similar IaC tooling.
• Experience with GitHub Actions or comparable pipelines.
• Scripting skills (Go, Python, Bash).
• Solid understanding of networking (VPCs, load balancers, DNS).

Responsibilities

• Design, implement and maintain infrastructure as code across cloud environments.
• Manage and operate Kubernetes clusters (EKS/AKS).
• Build and maintain CI/CD pipelines to automate build, test and deployment.
• Own reliability, security and cost-efficiency of cloud infra.
• Troubleshoot infrastructure issues and root cause analysis.
• Implement monitoring, logging and alerting for observability.
• Improve platform documentation and standards.
• Collaborate with engineers and architects across teams.

Skills

Cloud platforms

Kubernetes administration

CI/CD automation

Observability practices

Automation scripting

Networking fundamentals

IAM & security

Go/Python scripting

Tools

Terraform

GitHub Actions

Go

Python

Bash

AWS

Azure

Prometheus

Grafana

CloudWatch

Azure Monitor

AKS

EKS

Job description

LexisNexis Risk Solutions is seeking a Site Reliability Engineer to design, build and operate cloud infrastructure across AWS and Azure. The role emphasizes infrastructure as code, automation and platform reliability.

You will manage Kubernetes clusters, implement CI/CD pipelines and ensure observability, security and cost efficiency while partnering with engineering teams to improve operational excellence.