Software Engineer III

About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we deliver a wide range of solutions that help businesses drive revenue growth, maximize operational efficiency, and improve customer experience. Our offerings address critical challenges across Anti‑Money Laundering / Counter‑Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk Mitigation, Customer Data Management and Life Insurance Learn more at: https://risk.lexisnexis.com About the Role We are looking for a Software Engineer to join our Operations Engineering team, supporting a suite of internal systems critical to the performance and reliability of our enterprise insurance platform. In this role, you’ll triage and debug customer-impacting issues, perform impact analysis, monitor system health, and remediate policy/order-related failures, while also building robust backend tools that help operations teams do the same at scale. Responsibilities Triage and debug customer-impacting production incidents, identify root causes, and drive fixes through to resolution (including follow-ups and prevention). Lead/participate in RCAs and post-incident reviews; write clear incident timelines and implement corrective/preventative actions. Participate in on-call rotations helping to improve system reliability and oper [... source excerpt omitted ...] mediation, and improvements that reduce MTTD/MTTR. Build internal dashboards, monitoring frameworks, and alerting systems to provide visibility into operational health and KPIs. Requirements Demonstrated experience debugging production systems: reading logs/metrics/traces, isolating root cause, and implementing durable fixes. Experience participating in an on-call rotation and handling incident triage with calm prioritization and clear communication. 3+ years of experience in backend software development using Node.js. Hands-on experience with AWS cloud services (such as Lambda, Step Functions, DynamoDB, S3, CloudWatch, etc.) Experience working with relational and NoSQL databa [... source excerpt omitted ...] al workflows. Familiarity with software development best practices: testing, version control, CI/CD. Strong problem-solving skills with a track record of investigating ambiguous production issues and improving reliability. Experience working in enterprise software, especially within healthcare, insurance, finance, or regulated industries. Experience working with monitoring/observability tools such as CloudWatch, Datadog, or Grafana. Experience with big data processing platforms (e.g., Databricks or similar) is a huge plus. Hybrid Role, Once a week in office (GA) Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are som