Senior Cloud Database Engineer II

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/

The Database Engineering team is seeking a Senior Cloud Database Engineer II to help ensure the reliability, performance, security, and scalability of cloud data platforms supporting business-critical and customer-facing applications. In this role, you will combine reliability engineering and hands-on cloud database expertise across AWS services, helping to improve service resilience, automate operational processes, and support high-performing production environments. You will also collaborate across engineering teams and provide guidance to colleagues while contributing to operational excellence.

• →Create monitoring queries and establish service-level baselines for critical database services
• →Design and implement solutions that improve availability, fault tolerance, and recoverability across AWS database platforms
• →Participate in on-call rotation to assist in the recovery of major production incidents and act as a senior escalation point
• →Plan and execute failover testing within and between AWS regions
• →Automate the recovery of systems and components using Infrastructure-as-Code and configuration management
• →Implement automation and execute code in production environments to reduce manual effort and operational toil
• →Design and maintain monitoring, alerting, and observability solutions, including reusable, code-defined dashboards
• →Contribute to post-mortems, root cause analyses, reliability engineering documentation, and mentoring of junior engineers

• Hands-on experience operating managed cloud database services such as Aurora MySQL, Amazon RDS, Amazon Redshift, Amazon Dyna
• moDB, or Amazon ElastiCache
• Strong SQL skills with experience in database design, optimization, and troubleshooting, including schema design, query tuning, indexing, locks, and performance bottlenecks
• Proficiency in scripting and automation using Python, Bash, or a comparable language
• Experience designing and implementing monitoring and observability solutions
• Solid understanding of high availability, backup, recovery, and disaster recovery concepts
• Experience participating in on-call rotation, incident response, and root cause analysis
• Experience with Infrastructure-as-Code using CloudFormation or Terraform and CI/CD practices for database change management
• Experience implementing database security, access governance, resiliency patterns, or supporting high-availability production environments

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