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 JPMorganChase within the Consumer & Community Banking – Consumer & Community Banking Administrations, 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 • 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. • Resolves most nuances and determines appropriate escalation path • Executes conventional approaches to build or break down technical problems while considering upstream and downstream data and systems or technical implications • Drives the daily activities supporting the standard capacity process applications and partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses • Accountable for making significant decisions for a project consisting of multiple technologies and applications • 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 • 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. • Strong knowledge of one or more scripting languages (Python or NodeJS) • Experience with multiple cloud technologies (ability to operate in and migrate across public and private clouds) (AWS, GCP) • Must have experience with Terraform and AWS • AWS Associate or Architect Certification Preferred qualifications, capabilities, and skills • SecOps mindset (Security first) Control/Guardrails, Security Standards
Skills: infrastructure engineering problem-solving databases python nodejs cloud technologies aws gcp terraform