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# Infrastructure Engineer III

- **Company:** JPMorgan Chase & Co.
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, JIRA, Microsoft Azure, Configuration Management Databases, Databases, Continuous Integration, Data Visualization, DevOps, Inventory Management Software, Python (Programming Language), Tableau (Software), Scripting, Grafana, Git, Splunk, Dynatrace, Servicenow
- **Published:** August 9, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/infrastructure-engineer-iii-new-york-usa-58864958

## About the Role

* Resolve nuances and determine escalation paths; execute conventional problem-solving approaches. * Support daily capacity-process activities and collaborate with application and infrastructure teams to identify risks and remediation statuses. * Consider upstream/downstream data and systems implications; make significant decisions for multi-technology projects. * Adopt reuse-first, AI-assisted methods to detect recurring capacity risks and improve remediation workflows aligned with resiliency and security. Tasks * Formal infrastructure engineering training or certification and 3+ years of applied experience * Strong knowledge of hardware, networking, databases, storage, deployment, integration, automation, scaling, resilience, and performance * Hands-on experience with AWS or Azure; Python or other scripting tools * Experience with Git, CI/CD, DevOps practices; data visualization with Tableau or similar * Experience with CMDB-like inventory tools (ServiceNow) and observability platforms aa
aaaaA_ Grafana, Dynatrace) * Agile practices using Jira for planning and delivery * Understanding of IT asset management, lifecycle governance, and risk controls; ability to work with risk stakeholders * Experience applying enterprise AI capabilities with validation and security/auditability awareness Key requirements *

## Description

Experteer Overview In this Infrastructure Engineer III role, you'll apply technical rigor to scale-focused initiatives within JPMorganChase's Consumer and Community Banking group. You will work across applications and infrastructure teams to improve data and systems at scale, ensuring end-to-end monitoring and secure operation. You'll leverage AI-assisted methods to speed monitoring, capacity analysis, and remediation workflows while validating outputs for resiliency and security. This role combines hands-on engineering with decision-making across multiple technologies, offering meaningful impact on risk, performance, and reliability. You'll join a high-performing team shaping scalable, secure infrastructure. Compensation / Benefits * Apply technical knowledge to moderate-scope projects focusing on scalable data and systems, with end-to-end monitoring. * Use enterprise AI capabilities to accelerate monitoring, capacity analysis, and documentation, ensuring data sensitivity and security. * Resolve nuances and determine escalation paths; execute conventional problem-solving approaches. * Support daily capacity-process activities and collaborate with application and infrastructure teams to identify risks and remediation statuses. * Consider upstream/downstream data and systems implications; make significant decisions for multi-technology projects. * Adopt reuse-first, AI-assisted methods to detect recurring capacity risks and improve remediation workflows aligned with resiliency and security. Tasks * Formal infrastructure engineering training or certification and 3+ years of applied experience * Strong knowledge of hardware, networking, databases, storage, deployment, integration, automation, scaling, resilience, and performance * Hands-on experience with AWS or Azure; Python or other scripting tools * Experience with Git, CI/CD, DevOps practices; data visualization with Tableau or similar * Experience with CMDB-like inventory tools (ServiceNow) and observability platforms (Splunk, Grafana, Dynatrace) * Agile practices using Jira for planning and delivery * Understanding of IT asset management, lifecycle governance, and risk controls; ability to work with risk stakeholders * Experience applying enterprise AI capabilities with validation and security/auditability awareness Key requirements *


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