RELX
RELX
RELX develops information-based analytics and decision tools for professional and business customers worldwide. Its products combine specialized content, data, and technology to support better decisions and stronger outcomes across Risk, Scientific, Technical & Medical, Legal, and Exhibitions. RELX also operates across consulting, healthcare, and insurance-related markets, helping organizations improve productivity, manage risk, advance research, support legal work, and conduct more effective business transactions.

Senior Cloud Database Engineer at RELX – Dublin Onsite

RELX is seeking a Senior Cloud Database Engineer to strengthen AWS database reliability, resilience, and automation for LexisNexis Risk Solutions. The role supports cloud databases and business-critical applications in production.

Description

  • Develop monitoring queries and define service-level baselines for critical database services
  • Build solutions that increase availability, fault tolerance, and recoverability across AWS database platforms
  • Join the on-call rotation, help restore major production services, and serve as a senior escalation point
  • Prepare and conduct failover tests across AWS regions
  • Automate system and component recovery with Infrastructure-as-Code and configuration management
  • Develop and run production automation that reduces manual work and operational toil
  • Create and maintain monitoring, alerting, and observability capabilities, including reusable dashboards defined in code
  • Support post-mortems, root cause investigations, reliability documentation, and junior engineer mentoring
  • Partner with engineering teams and advise colleagues on operational practices
  • Advance service resilience, streamline operations through automation, and help maintain reliable production environments

Requirements

  • Practical experience running managed cloud database services such as Aurora MySQL, Amazon RDS, Amazon Redshift, Amazon DynamoDB, or Amazon ElastiCache
  • Advanced SQL capability covering database design, optimization, and troubleshooting, including schema design, query tuning, indexing, locking, and performance bottlenecks
  • Ability to script and automate with Python, Bash, or a similar programming language
  • Experience creating and deploying monitoring and observability solutions
  • Strong knowledge of high availability, backup, recovery, and disaster recovery principles
  • Background in on-call support, incident response, and root cause analysis
  • Experience with Infrastructure-as-Code tools such as CloudFormation or Terraform, along with CI/CD practices for database change management
  • Experience applying database security and access governance, designing resilience patterns, or supporting highly available production systems

Benefits

  • Benefits vary by country
  • Support with accommodations or adjustments for applicants with disabilities or other needs
  • Commitment to equal opportunity employment

Related Jobs

Capital One

AI Engineer 5, Agentic AI and Generative AI Platform Services at Capital One

Capital One

Build scalable agentic and generative AI platforms for Capital One’s banking systems. Focus on foundation models, inference, orchestration, governance, and production AI infrastructure.

Open