Open since Jul 2026
Lead Middleware Infrastructure Engineer - Dallas, TX
AI Summary
Leads middleware and infrastructure engineering, driving OpenShift and cloud-native modernization, automating platform operations with Ansible and Chef, and administering Tomcat/JBoss environments. Also leads major incident response and performance troubleshooting for Java-based applications.
About this role
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.
Requirements
Talents Needed for Success:
• Version Control Systems: Atlassian Bitbucket, GitHub.
• Containerization and Orchestration: Docker, Kubernetes, RedHat OpenShift.
• Application Servers: IBM WebSphere, Apache Tomcat, Redhat JBoss EAP.
• Configuration Management and Infrastructure as Code (IaC): Chef, Terraform, Puppet, Ansible.
• Cloud Computing Platforms: Amazon Web Services (AWS), Google cloud, Azure.
• Build and Dependency Management: Jenkins, Maven, and Gradle.
• Streaming Platform: Apache Kafka.
• Continuous Integration and Continuous Deployment (CI/CD): Ansible.
• Operating Systems and Scripting: Red Hat Enterprise Linux, Bash Shell script, Java Script and Python.
Skills
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