Enterprise Support Engineer

RELX

. Own assigned customer support cases from intake through resolution, including accurate logging, prioritization, status updates, customer communication, and SLA adherence .

Posted 10/7/2026full-timeRemote • United StatesMid-LevelSenior💰 $65,100 - $108,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in troubleshooting and resolving issues related to enterprise web applications, particularly Java-based systems, while effectively managing customer support cases and adhering to SLAs. Proficient in analyzing logs, metrics, and system behavior across cloud environments and container orchestration platforms like Kubernetes and OpenShift.

Highest-signal resume keywords

Kubernetes TroubleshootingJava Web Application SupportSQL Database ManagementREST API KnowledgeCloud Architecture Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaSQLKubernetesOpenShiftLinuxWindowsREST APIsBashPythonJSON

Soft Skills

Customer CommunicationCollaborationProblem-SolvingRoot-Cause AnalysisTechnical Troubleshooting

Tools & Technologies

HelmIBM MQKafkaRedisAzureAWSGoogle CloudOpenSSLTLSSAML

Industry Keywords

Financial ServicesComplianceTransaction ScreeningHigh-Volume Data PlatformsData Transformation

Tech Stack

Tools & technologies

AWSAzureCloudDNSFirewallsJavaJavaScriptKafkaKubernetesLinuxMS SQL ServerOpenShiftOraclePythonRedisSQLUnix

About the role

Key responsibilities & impact

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 OpenShift resources, including pods, deployments, services, ingress or routes, namespaces, ConfigMaps, 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
Manage severity, escalations, and SLA commitments

Requirements

What you’ll need

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 OpenShift, containers, registries, Helm, externalized configuration, persistent storage, service discovery, probes, resource management, and deployment troubleshooting
Understanding of public, private, and hybrid cloud architectures, including Azure, AWS, Google Cloud, load balancers, DNS, private endpoints, firewalls, security groups, routing, managed services, and object storage
Experience writing and debugging SQL and working with Oracle, Microsoft SQL Server, or other relational databases; understanding of schemas, tables, joins, keys, constraints, indexes, data types, and query behavior
Working knowledge of REST APIs, messaging and caching technologies such as IBM MQ, Kafka, or Redis, and data flows across databases, queues, APIs, files, and object storage
Familiarity with SSO, SAML, OAuth, LDAP, certificates, OpenSSL, TLS handshakes, authentication, authorization, tokens, and identity-provider integrations
Knowledge of scripting languages such as Bash, PowerShell, Python, or Java and experience working with JSON, XML, YAML, CSV, deployment manifests, and data transformation concepts is beneficial
Experience supporting regulated, financial services, financial crime compliance, transaction screening, or high-volume data platforms is valuable

Benefits

Comp & perks

Country-specific benefits
Disability and other accommodation support during the hiring process