Infrastructure Engineer III- Storage & Automation

You belong to the top echelon of talent in your field. At one of the world's most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role. As an Infrastructure Engineer III at JPMorgan Chase within the Infrastructure Platforms team , you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope. Job responsibilities Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving data and systems running at scale, and ensures end to end monitoring of applications Apply structured problem-solving to support the design, development, and troubleshooting of moderate-complexity initiatives. Provide Storage SRE support across enterprise storage platforms including NetApp CDOT, Dell Isilon, Pure and Vast. Apply hands-on experience with NFS, SMB/CIFS, and NAS-based file storage and connectivity; working knowledge of AI Operating System (VAST) is preferred. Participate in a 24/7 follow-the-sun support model, primarily covering morning-to-evening hours. Own incident and problem tasks end-to-end—driving triage, resolution, root-cause analysis, and corrective actions—while applying operational discipline across Incident, Change, and Problem Management. Leverage Linux and Windows knowledge to support integrated storage/compute troubleshooting. Execute tasks across workstreams spanning one or more infrastructure technologies, partnering with adjacent platforms to implement modernization and issue-resolution changes. Analyze upstream/downstream system and data dependencies and raise mitigation actions to preserve resiliency and performance. Uses enterprise-authorized AI capabilities within the work environment to accelerate monitoring and capacity analysis and documentation, validating outputs and handling operational data according to sensitivity and security requirements. Applies reuse-first, AI-assisted approaches to identify recurring capacity risks and improve remediation workflows, ensuring changes are validated and aligned to resiliency and security expectations. Required qualifications, capabilities, and skills Formal training or certification on infrastructure engineering concepts and 3+ years applied experience Hands-on experience in one or more of: Storage SRE, storage engineering, integration, automation, scaling, resilience, or performance assessment Working knowledge of enterprise storage products (mandatory for this role) Working knowledge of one non-storage infrastructure technology and at least one scripting language Experience using enterprise-authorized AI capabilities to support infrastructure 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 meet resiliency, security, and auditability expectations Ability to work through design and infrastructure problems with limited oversight Strong written and verbal communication, with the ability to collaborate across engineering and cross-functional teams Strong knowledge of one or more infrastructure disciplines such as: hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and performance assessments 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. Experience with multiple cloud technologies (ability to operate in and migrate across public and private clouds) Preferred qualifications, capabilities, and skills Experience in large-scale, highly regulated financial services or enterprise technology environments Familiarity with infrastructure-as-code tools and modern DevOps or SRE practices Exposure to performance engineering, capacity planning, or infrastructure observability and monitoring tooling Ability to contribute to cross-functional alignment across engineering and platform teams Prior experience contributing to enterprise-wide infrastructure platforms supporting a global organization