Lead Infrastructure Engineer — Prem OpenShift Platform

We're looking for a talented, senior engineering professional ready to take their career to new heights at one of the world's most influential companies.

As a Lead Infrastructure Engineer at JPMorgan Chase within Enterprise Technology Compute Infrastructure Platforms team, you will design, engineer, and operate an on-premises Open Shift-based platform that hosts both containers and virtual machines (e.g., Open Shift Virtualization / Kube Virt). You will own the underlying infrastructure and Open Shift cluster foundations, compute, hypervisor platforms, operating systems, networking, storage, security controls, and reliability enabling product teams to deploy workloads safely, consistently, and efficiently.

This is an infrastructure engineering role focused on platform lifecycle and reliability, partnering closely with hardware engineering, networking, storage, security, identity/access, and platform consumers.

• Design Open Shift  cluster architectures (on-premises and/or hybrid) to meet availability, scalability, security, and operability requirements.
• Buildandoperate Open Shift  clusters end-to-end, including install, upgrade, patching, scaling, resilience testing as well as virtualization capabilities supporting VM lifecycle (images/templates and relevant hardware acceleration concepts such as SR-IOV/DPDK/GPU passthrough, where applicable).
• Engineer the platform to support both Kubernetes workloads and VM workloads, including capacity planning, performance management, placement strategies, and HA/DR considerations.
• Own Linux platform fundamentals (e.g., RHEL/CoreOS concepts, kernel/sysctl tuning, certificates, and identity integration basics) required for reliable cluster operations.
• Implementandtroubleshootcore networking capabilities (routing/switching fundamentals, DNS, L4/L7 concepts, load balancing, firewalling, segmentation, and packet-path analysis).
• Integratestorage services for container and VM workloads (block/file/object concepts, CSI drivers, performance and failure modes, and backup/restore approaches).
• Drivereliability practices including observability, incident response, root-cause analysis, and preventative improvements across the platform lifecycle.
• Developrunbooks, standards, and reference architectures;leadoperational readiness reviews and post-incident actions.
• Usesenterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according to sensitivity and security requirements.
• Leadsreuse-first adoption of AI-assisted practices across delivery and automation routines to reduce recurring issues, ensuring changes are validated, traceable and auditable, and aligned to resiliency and security expectations.

• Formal training or certification on infrastructure engineering concepts and 5+ years applied experience.
• Hands-on administration ofRed Hat Open Shift and Kubernetesin production environments (e.g., install/upgrade patterns such as IPI/UPI, Operators, SCC/RBAC, cluster operators, ingress).
• Experience operating Kubernetes/container platforms through day-2 operations (upgrades, scaling, troubleshooting, and platform lifecycle management).
• Experience with
  
  OpenShift Virtualization / Kube Virt(or equivalent VM-on-Kubernetes) and VM/container co-tenancy design considerations.
• Strong Linuxadministration and troubleshooting experience (e.g., system performance, certificates, OS configuration, and cluster node operations).
• Demonstrated troubleshooting depth inat least twoof the following domains: networking, storage, virtualization.
• Experience designing and operatinghighly available platforms, including capacity management, incident handling, root-cause analysis, and remediation tracking.
• Experience partnering with security/compliance stakeholders on hardening, RBAC, secrets/certificates handling, and vulnerability management aligned to secure-by-default configurations.
• Experience implementing infrastructure automation and configuration-as-code practices (e.g., Ansible/Terraform/Git Ops patterns) with traceability and auditability.
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.

• Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.

• Familiarity with Open Shift observability stacks (Prometheus/Grafana/Alert manager, logging, tracing) and operational maturity practices.
• Experience with service mesh, ingress controllers, API gateways, or platform networking plugins aligned to your stack.
• Experience with enterprise storage technologies and their performance/failure…