Infrastructure Engineer III AV/ Multimedia Engineer

Job description

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 AV Multimedia at JPMorgan Chase within the Corporate Sector, 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 responsibilitiesApplies 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 applicationsUses 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.Resolves most nuances and determines appropriate escalation pathExecutes conventional approaches to build or break down technical problems while considering upstream and downstream data and systems or technical implicationsDrives the daily activities supporting the standard capacity process applications and partners with application and infrastructure teams to identify potential capacity risks and govern remediation statusesAccountable for making significant decisions for a project consisting of multiple technologies and applicationsApplies 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 skillsA. Formal training or certification on infrastructure engineering concepts and 3+ years applied experience Strong knowledge of one or more infrastructure disciplines such as: hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and performance assessmentsDemonstrated 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 one or more scripting languagesExperience with multiple cloud technologies (ability to operate in and migrate across public and private clouds)Preferred qualifications, capabilities, and skills