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Lead Middleware Infrastructure Engineer - Dallas, TX

StradIT · Dallas, Texas, United States · Posted Jul 6, 2026

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Primary Responsibilities:

Drive application modernization and migration initiatives from legacy platforms to OpenShift and cloud-native architectures.

Develop and maintain automation solutions using Ansible, Chef Cookbooks, Python, and Shell scripting for server provisioning, middleware configuration, patching, SSL certificate management, and operational tasks.

Build and enhance self-service platform capabilities to improve operational efficiency and developer experience.

Administer, configure, and troubleshoot applications running on Red Hat OpenShift (OCP), including Kubernetes resources, Helm Charts, ConfigMaps, Secrets, Routes, Persistent Volumes, and containerized workloads.

Manage Kubernetes resources including Pods, Deployments, StatefulSets, DaemonSets, Services, Ingresses, Routes, and Operators.

Troubleshoot OpenShift cluster, networking, storage, security, performance, and high-availability issues across development, test, and production environments.

Support production incidents, perform root cause analysis, and lead Major Incident Management (MIM) and technical bridge calls during critical outages.

Build, enhance, and support CI/CD pipelines using Jenkins, GitLab, Maven, and enterprise deployment frameworks to enable automated deployments and platform lifecycle management.

Create and maintain Chef Cookbooks for Tomcat, Apache HTTP Server, SSL certificate automation, middleware patching, platform upgrades, and infrastructure standardization.

Configure, administer, and troubleshoot Apache Tomcat and Red Hat JBoss Web Server (JWS) environments, including server.xml, context.xml, JVM settings, connectors, clustering, session management, security configurations, and application deployments.

Partner with application development teams to onboard, deploy, troubleshoot, and optimize Java-based applications running on OpenShift and VM-hosted platforms.

Perform application startup analysis, thread dump analysis, heap dump analysis, garbage collection tuning, JVM performance optimization, log analysis, and troubleshooting of application connectivity, memory, SSL/TLS, and deployment-related issues.

Support middleware workloads hosted in AWS cloud environments, including deployment automation, upgrades, patching, and operational support.

Implement and manage SSL/TLS, mTLS, certificate lifecycle management, and security compliance controls across middleware platforms.

Configure and support observability solutions using Grafana, OpenTelemetry, Prometheus, Splunk, and Dynatrace for monitoring, alerting, performance tuning, capacity planning, and platform health visibility.

Automate self-healing, auto-remediation, and operational resiliency capabilities to improve platform reliability and reduce manual intervention.

Perform advanced troubleshooting, root cause analysis, performance tuning, and production issue resolution for Tomcat, Apache, Java, Spring Boot, and containerized applications.

Collaborate with Application Development, Infrastructure, Security, Cloud Engineering, and Platform Engineering teams to deliver secure, scalable, and standardized platform solutions.

Participate in production support rotations, change management, release management, disaster recovery testing, and platform governance activities.

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