About this role
Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.
Senior Infrastructure Engineer, building resilient platforms. Modernize enterprise infrastructure. Enable AI at scale.
• 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.
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.