Infrastructure Engineer III

JPMorgan Chase & Co. • Plano, TX

1d

About The Position

As an Infrastructure Engineer III at JPMorganChase within Enterprise Technology (Infrastructure Platforms), you apply strong knowledge of software, applications, and technical processes within infrastructure engineering. You hold end-to-end accountability for administration, stability, and resilience of the storage technology estate, from reactive incident management through proactive automation and toil reduction. The role operates on a structured shift rotation, including weekend day coverage, to ensure continuity of service and operational excellence.

You will operate and improve block, file, and object storage platforms across on-premises and cloud environments; build automation; lead incident response; and partner with related technology teams. You will also use enterprise-authorized AI capabilities and implement AI-driven observability and AIOps with attention to accuracy, auditability, security, and safe rollout. The position owns and continually improves service level objectives, service level indicators, error budgets, and on-call readiness for storage services.

Requirements

• Formal training or certification in infrastructure engineering concepts and 3+ years of applied experience.
• Demonstrated experience using enterprise-authorized AI capabilities in 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, escalate when uncertain, and ensure outcomes align with resiliency, security, and auditability expectations.
• Strong knowledge of storage fundamentals, including RAID and erasure coding, replication, snapshots, tiering and caching, IOPS and latency, multipathing, SAN and NAS, and object storage semantics.
• Hands-on experience with at least one major storage ecosystem, such as NetApp, Dell EMC PowerStore or Isilon, Pure Storage, Hitachi, Ceph, IBM, or cloud-native storage services.
• Strong scripting or programming proficiency in one or more of Python, Go, or Bash.
• Solid Linux fundamentals, including system performance, networking basics, and kernel and storage-stack concepts.
• Experience with observability stacks such as Prometheus and Grafana, Elastic or OpenSearch, Splunk, Datadog, or OpenTelemetry.
• Proven incident management skills and ability to operate effectively within an on-call rotation.
• Practical AI and data operations skills, including anomaly detection, forecasting, correlation, classification, feature extraction, and integration of AI into production tooling and continuous integration and delivery pipelines with safe large language model use, guardrails, and human-in-the-loop review.

Nice To Haves

• Experience with Kubernetes storage using the Container Storage Interface, stateful workloads, and container platform operations.
• Proficiency with Infrastructure as Code tools such as Terraform or CloudFormation, and configuration management tools such as Ansible, Chef, or Puppet.
• Familiarity with streaming and queue tooling for telemetry and event pipelines such as Kafka.
• Experience with IT service management and event management platforms such as ServiceNow.
• Knowledge of backup and disaster recovery products and strategy design, including recovery point objective and recovery time objective tradeoffs.
• Experience with security controls for data platforms, including key management services, hardware security modules, secrets management, and key rotation.

Responsibilities

• Apply technical knowledge and problem-solving methodologies to moderate-scope storage infrastructure projects, ensuring end-to-end monitoring, performance, and resilience of storage services at scale.
• Use enterprise-authorized AI capabilities to accelerate infrastructure analysis, monitoring, and capacity documentation; validate outputs and handle operational data according to sensitivity and security requirements.
• Apply reuse-first, AI-assisted practices in delivery and automation to identify recurring issues, improve remediation workflows, and ensure changes are traceable, auditable, and aligned with resiliency and security expectations.
• Operate and enhance block, file, and object storage platforms across on-premises and cloud environments, including performance tuning, capacity planning, lifecycle management, and resiliency testing such as failover and disaster recovery validation.
• Lead incident response for storage outages and performance degradations, drive root cause analyses, and implement preventative actions to reduce recurrence.
• Build and maintain automation for provisioning, patching, upgrades, replication, backup and restore, and compliance checks to reduce toil and improve operational consistency.
• Create and maintain runbooks, escalation paths, and standardized operational procedures to support on-call readiness and team knowledge continuity.
• Partner with infrastructure, network, operating system, database, and application teams to meet workload requirements and reliability targets.
• Implement AI-driven observability and AIOps capabilities, including telemetry correlation, anomaly and regression detection, and large language model-assisted incident and runbook workflows, with a focus on accuracy, auditability, and safe rollout.
• Own and continuously improve service level objectives, service level indicators, error budgets, and on-call readiness for storage services.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location; eligible roles may also receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed