Ibm Mq, Gitlab, Azure, Kubernetes

messaging platforms , Java, Oracle Database, Jboss Application Server, Prometheus, Spring Boot, Grafana, Datadog, Sql, Redis, Microservices, Docker, Elasticsearch, Kubernetes, GitOps, Caching technologies, Monolithic application architectures, CI/CD pipeline

Unix, Elk, Apache Tomcat, Json, Service Now, Grafana, Adobe Analytics, JIRA, Ibm Websphere, Shell, Confluence, Docker, Python, AWS, Newrelic, Ibm Mq, Activemq, Linux, Node JS, Dynatrace, Splunk, Azure, Kubernetes, Quantum Metrics, WIKI, Blue Triangle, AKS, KEDA

VMware, Elk, PowerShell, Prometheus, Grafana, Office 365, Datadog, Azure Ad, Terraform, Python, Azure DevOps, Zerto, GitOps, Microsoft Entra ID, NSX-T, Active Directory, GitHub Actions, Rubrik

Networking Basics, Dynatrace, Splunk, Kubernetes, Linux Unix, Java, Jira, Automation exposure, Root Cause Analysis, Oracle Postgres database, Cloud Native application experience, Dashboard creation exposure, Hashicorp, Scheduling tool like TWS, Kafka Axon

Github, T-sql, PostgreSQL, PowerShell, Microsoft Sql Server, Windows, Automation, Jenkins, Terraform, Linux, Microsoft Azure, Puppet, Python, Monitoring

messaging platforms , containerization , Unix, Spring Boot, Application Monitoring, Angular, Nosql, React, Distributed Systems, Php, automation, Scripting, AWS, Java, Apis, Node.js, Itil, Sql, Linux, Incident Management, Cloud Infrastructure, observability, Source Control, DevOps practices, third-party integrations

Algorithms, Azure Cloud, Java, Software Design, Python, Shell, Database Systems, data structures, virtualized Linux operating environments, Go

Docker, Sql, Splunk, Java, Grafana, PowerShell, Kubernetes, Bash, Python, Servicenow, Terraform, Elk Stack, Azure services, Azure Application Insights, Azure DevOps Pipelines