Lead Infrastructure Engineer - Storage

Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence.

Your role will be instrumental in shaping the future at one of the world's largest and most influential companies.

As a Lead Infrastructure Engineer at JPMorganChase within the Enterprise Technology, Infrastructure Platforms team , you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline.

Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise.

Job responsibilities



* Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.


* Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.


* Own and continuously improve SLOs/SLIs, error budgets, on-call readiness, and operational excellence for storage services.


* Lead incident response for storage outages/performance degradations; drive RCAs and implement preventative actions.


* Create and maintain runbooks, escalation paths, and standardized operational procedures.


* Operate and enhance block/file/object storage platforms across on-prem and/or cloud environments.


* Perform performance tuning, capacity planning, lifecycle management, and resiliency testing (failover/DR validation).


* Partner with infrastructure, network, OS, database, and application teams to meet workload requirements and reliability targets.


* Build automation for provisioning, patching, upgrades, replication, backup/restore, and compliance checks.


* Implement AI-driven observability/AIOps (telemetry correlation, anomaly/regression detection, LLM-assisted incident/runbook workflows) with accuracy, auditability, and safe rollout.

Required qualifications, capabilities, and skills



* Formal training or certification on infrastructure engineering concepts and 5+ years applied experience


* 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.


* Strong knowledge of storage fundamentals (RAID/erasure coding, replication, snapshots, tiering/caching, IOPS/latency, multipathing, SAN/NAS, object semantics).


* Hands-on experience with at least one major storage ecosystem (e.g., NetApp, Dell EMC PowerStore/Isilon, Pure, Hitachi, Ce...