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RELX

Site Reliability Engineer

Posted 8 Days Ago
In-Office or Remote
Hiring Remotely in United Kingdom
Entry level
In-Office or Remote
Hiring Remotely in United Kingdom
Entry level
Designs, builds, and operates reliable cloud infrastructure across AWS and Azure. Responsibilities include developing Terraform infrastructure as code, managing EKS and AKS Kubernetes clusters, maintaining CI/CD pipelines, improving security and cost efficiency, troubleshooting distributed infrastructure issues, implementing monitoring and alerting, and collaborating with engineering and architecture teams on platform standards and documentation.
The summary above was generated by AI

Are you passionate about building reliable, scalable cloud platforms that empower engineering teams to deliver at speed?

Do you enjoy solving complex infrastructure challenges, driving automation, and improving operational excellence across a modern cloud environment?

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 team is responsible for delivering complex, highly opinionated infrastructure as code capabilities that underpins how applications are deployed across our organisation spanning different business units and use cases. Terraform modules and delivery pipelines to ensure teams can provision feature rich Kubernetes clusters that are ready to operate workloads in a safe and consistent way.

About the Role

We're looking for a Site Reliability Engineer to design, build and operate cloud infrastructure across AWS and Azure. You'll play a key role in enabling engineering teams through infrastructure as code, automation, and platform reliability practices. This is a hands-on opportunity to help shape scalable, secure, and observable cloud platforms while driving engineering excellence across teams.

Responsibilities

  • Design, implement and maintain infrastructure as code for use across cloud environments
  • Manage and operate Kubernetes clusters (EKS/AKS)
  • Build and maintain CI/CD pipelines to automate build, test and deployment workflows
  • Own the reliability, security and cost-efficiency of cloud infrastructure
  • Troubleshoot and resolve infrastructure issues and fix root causes of issues at the source
  • Implement monitoring, logging and alerting solutions to ensure system observability
  • Collaborate with engineers and architects to improve platform documentation, standards and adoption

Requirements

  • Strong hands-on experience with cloud platforms (AWS & Azure ideally)
  • Hands-on experience with Infrastructure as Code in production environments using Terraform or similar
  • Be able to diagnose and resolve complex infrastructure issues across distributed systems
  • Have experience building and maintaining CI/CD pipelines using GitHub Actions or similar
  • Be comfortable writing automation scripts using Go, Python, Bash or similar
  • Understanding of networking fundamentals (VPCs/VNets, load balancers, DNS, security groups/NSGs)
  • Experience with secrets management and identity/access control (IAM, OIDC, Azure AD)
  • Familiarity with observability tooling (Prometheus, Grafana, CloudWatch, Azure Monitor)

Risk benefit statement

Learn more about the LexisNexis Risk team and how we work

here

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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