**Introduction** The AI Center of Excellence (COE) team is looking for a motivated and innovative Entry-Level Engineer to join our dynamic and fast-paced environment. As part of the AI COE, you will have the opportunity to work on cutting-edge AI projects, contribute to the development of reusable AI modules, and collaborate with a cross-functional team to drive impactful solutions. The ideal candidate will have a strong desire to learn, a passion for artificial intelligence, and a commitment to delivering high-quality work in a structured and collaborative setting. **Your Role And Responsibilities** **Roles & Responsibilities:** - Implement and automate infrastructure solutions that support IBM Cloud products and infrastructure - Build & Set up test automation and pipeline frameworks in OpenShift and/or Kubernetes environments - Administer automated CI/CD systems and tools for development and test teams - Support the compliance and security integrity of the environment - Partner with other teams, managers and program managers to develop alerting and monitoring for mission-critical services - Support development of new and enhance existing capabilities for our compute infrastructure services - Provide technical escalation support for other Infrastructure Operations teams **Required Technical And Professional Expertise** **Required technical & professional expertise:** - 3+ years of infrastructure engineer with proven record for delivering high-quality, large-scale solutions - Working knowledge with one or more operating systems: Ubuntu (Preferred), RHEL, CentOS Linux, and Windows Servers - Working knowledge with one or more Virtualization technologies: Citrix Hypervisor (Preferred), VMware vSphere, Ubuntu KVM, etc. - Working knowledge with one or more programming tools: Bash, PowerShell, Python, Ruby and Go. - Working knowledge with one or more key infrastructure tools/products: Active Directory, Ansible, Chef, etc. - Working knowledge with Container technologies: Kubernetes (preferred), Docker, etc. - Working knowledge with Monitoring technologies: Zabbix (preferred), Splunk, etc. - Working knowledge with Network and Storage technologies - Working knowledge with ServiceNow, JIRA, Confluent, and GitHub **Preferred Technical And Professional Experience** **Desired Additional Qualifications and Skills ("Nice to Have")** - Experience with Message Queues (Kafka preferred), PostgreSQL Databases, Redis Caching - Experience with technologies enabling reliable data processing pipelines such as Kafka, Elasticsearch, Splunk; database and data visualization technologies for operations such as SQL dbs, Influxdb, Grafana, Kibana. - Experience with event monitoring/management ecosystems like Zabbix, Nagios, Sysdig, LogDNA, ServiceNow.