Job Description
Senior Infrastructure Engineer, building resilient platforms. Modernize enterprise infrastructure. Enable AI at scale.
Responsibilities
• Build, administer, upgrade, scale, and troubleshoot bare-metal Kubernetes environments using Kubespray and Kubeadm, including highly available control planes, resource limits, persistent storage, secrets, YAML automation, kubectl scripting, and Horizontal Pod Autoscaling.
• Engineer containerized and microservices platforms with Kubernetes, Docker, Containerd, OpenShift, Rancher, Helm, and reusable Helm charts.
• Use Istio for observability, security, traffic management, routing, load balancing, fault tolerance, resilience, and context-based ingress routing.
• Operate GitLab, configure ADS authentication, maintain security and patching, automate upgrades, enable runners, and deliver CI/CD pipelines with Jenkins and Quay.
• Administer Linux, Unix, and RHEL systems through builds, upgrades, patching, migrations, scripting, troubleshooting, and root-cause analysis.
• Deploy and operate HashiCorp Vault HA on Kubernetes with Vault Agent Injector, Kubernetes secrets, and Raft storage.
• Create end-to-end visibility with Elasticsearch, Fluentd, Metricbeat, Filebeat, Kibana, Prometheus, Grafana, APM agents, and Weave Scope.
• Design and deploy a standalone NGINX reverse proxy to distribute AI/LLM inference traffic across GPU-enabled worker nodes.
• Deploy and Monitor NVIDIA A10 GPU environments with Prometheus, Grafana, Node Exporter, and DCGM Exporter.
• Install, upgrade, configure, and support MapR, Hadoop, IBM DataStage, and Infosphere Information Server platforms.
• Lead change, release, incident response, production support, RCA, documentation, and knowledge transfer.
Qualifications
• 15+ years of IT experience across installation, configuration, administration, design, development, deployment, testing, and production support throughout the SDLC.
• Experience supporting business application systems in finance and health care environments.
• Deep knowledge of high-availability infrastructure, enterprise operations, release management, incident management, performance optimization, and production support.
• Platforms: Google Cloud, Amazon Web (or other variant of public cloud) Unix, Linux, RHEL, Windows NT/XP/2000/2003 Server, VMware ESX, vSphere, UCS, and HPE infrastructure.
• Cloud-native platforms: Kubernetes, OpenShift, Rancher, Docker, Containerd, Kubespray, Kubeadm, Helm, Istio, and NGINX.
• CI/CD and registries: GitLab, GitLab Runner, Jenkins, and Quay.
• Observability: Grafana, Kibana, Prometheus, Elasticsearch, Fluentd, Metricbeat, Filebeat, APM Server and agents, Weave Scope, Node Exporter, and DCGM Exporter.
• Security and secrets: HashiCorp Vault, Vault Agent Injector, Raft storage, LDAP, Active Directory/ADS, Kubernetes secrets, and ACEs.
• ETL and data integration: IBM DataStage 8.x/7.5x2/7.x/6.x EE and SE, MetaStage, Parallel Extender, Infosphere Information Server 8.0/8.1.1, Information Analyzer/ProfileStage, and QualityStage.
• Databases: DB2 9.x/7.x, SQL Server 2005/2000, Netezza, and MySQL.
• Big data: MapR 4.x/5.x/6.x, HDFS, MapReduce, YARN, Oozie, Pig, Hive, HBase, Hue, Sqoop, and DistCp.
• Automation and scheduling: Shell scripting, kubectl, Kubernetes YAML, Control-M, Autosys, and Crontab.
• Operations tools: StackIQ, Satellite Server, UCS Intersight, Citrix, PuTTY, Cygwin X, ServiceNow, IBM Infoman, IBM Infoweb, and IBM ESR.
• HPE Data Fabric administration.
• Master's degree in Computer Science or similar field.