AI-Driven Storage Infrastructure Engineer III

JPMorgan Chase & Co.; Houston (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. in Houston seeks an Infrastructure Engineer III to own storage infrastructure across on-premises and cloud, ensuring stability, performance, and resilience of the storage estate.

You will handle end-to-end administration, from incident response to proactive automation and capacity planning. The role emphasizes AI-driven observability, runbooks, and collaboration with cross-functional teams to meet reliability targets.

Qualifications

• 3+ years applied experience in infrastructure engineering.
• Experience using enterprise AI capabilities with validation and awareness of data sensitivity.
• Ability to review and validate AI-assisted recommendations before implementation for resiliency, security, and auditability.
• Strong storage fundamentals: RAID, erasure coding, replication, snapshots, IOPS, latency.

Responsibilities

• Apply storage infrastructure knowledge to projects of moderate scope with end-to-end monitoring and resilience.
• Use AI capabilities to accelerate infrastructure analysis, capacity documentation, and automate workflows.
• Lead incident response for storage outages and drive root cause analyses and preventative actions.
• Build and maintain automation for provisioning, patching, upgrades, replication, backup, and compliance checks.

Skills

Storage infrastructure

Python scripting

Linux fundamentals

Incident management

Education

Infra engineering certs

Tools

NetApp

Dell EMC PowerStore

Isilon

Pure Storage

Ceph

Cloud-native storage

Job description

JPMorgan Chase & Co. in Houston seeks an Infrastructure Engineer III to own storage infrastructure across on-premises and cloud, ensuring stability, performance, and resilience of the storage estate.

You will handle end-to-end administration, from incident response to proactive automation and capacity planning. The role emphasizes AI-driven observability, runbooks, and collaboration with cross-functional teams to meet reliability targets.