Enterprise Support Engineer

Lexis Nexis 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 Lexis Nexis Risk at

The Lexis Nexis Risk Solutions Product Support Engineering organization is a global, customer-focused team supporting mission-critical financial crime compliance platforms with the world’s top banking and financial institutions as our customers. The team partners closely with Product Experts, Product Tech and other cross-functional teams to protect service reliability, customer confidence, and continuous product improvement in fast-paced, SLA-driven environments.

The Enterprise Support Engineer provides advanced technical support and engineering-level investigation into complex customer-reported production issues. The role combines end-to-end support case ownership with deep troubleshooting across the application, container platform, infrastructure, database, network, identity, messaging, storage, integration, and customer-configuration layers. This is not a scripted triage position. The Enterprise Support Engineer gathers evidence, recreates customer scenarios, reproduces failures, identifies root causes, validates corrections, and communicates clear findings to customers and internal stakeholders.

The engineer manages severity, escalations, and SLA commitments.

• Own assigned customer support cases from intake through resolution, including accurate logging, prioritization, status updates, customer communication, and SLA adherence.
• Analyze application and container logs, platform events, configuration files, environment variables, secrets, data feeds, database records, API responses, deployment artifacts, and system behavior.
• Troubleshoot Kubernetes and Open Shift resources, including pods, deployments, services, ingress or routes, name spaces, Config Maps, secrets, persistent volumes, probes, resource limits, image versions, networking, and scaling behavior.
• Diagnose issues spanning Java web applications, REST APIs, databases, messaging middleware, object storage, authentication and SSO, TLS certificates, cloud infrastructure, and customer integrations.
• Distinguish among product defects, environmental issues, configuration errors, resource constraints, data problems, and integration failures using evidence-based root-cause analysis.
• Correlate logs, metrics, events, traces, timestamps, transaction IDs, request IDs, pod names, service names, configuration, and customer-reported symptoms.
• Perform issue reproduction, hypothesis testing, defect validation, and technical troubleshooting activities.
• Collaborate with internal teams and customers to drive issue resolution and continuous service improvement.

• Experience supporting, deploying, implementing, or troubleshooting enterprise web applications, preferably Java-based, in production.
• Working knowledge of Linux or Unix and Windows environments, command-line diagnostics, system outputs, and deployment configuration.
• Understanding of client/server and web application concepts, including HTTP/HTTPS, requests and responses, sessions, cookies, headers, HTML, CSS, JavaScript, connectivity, performance, and timeouts.
• Hands-on experience with, or strong working knowledge of, Kubernetes and/or Open Shift, containers, registries,…