Lead Infrastructure Engineer, Employee Platforms

Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influential companies. As a Lead Infrastructure Engineer at JPMorganChase within Corporate Technology Employee Platforms team, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise. Job responsibilities Applies technical expertise and problem-solving methodologies to projects of moderate scope and executes creative solutions for design, development, and technical troubleshooting for problems of moderate complexity Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements. Drives a workstream or project consisting of one or more infrastructure engineering technologies and works with other platforms to architect and implement changes required to resolve issues and modernize the organization and technology processes Strongly considers upstream and downstream data and systems or technical implications and advises on mitigation actions Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations. Required qualifications, capabilities, and skills Formal training or certification on infrastructure engineering concepts and 5+ years applied experience Bachelor's Degree in Computer Science or equivalent Deep knowledge of one or more areas of infrastructure engineering such as: hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience or 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. Deep knowledge of one specific infrastructure technology and scripting languages Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds Preferred qualifications, capabilities, and skills Practical experience with network technologies, including firewalls and cloud-based solutions such as Palo Alto SASE, with the ability to troubleshoot issues hands-on under expert guidance. Demonstrated proficiency in SaaS platforms, particularly Omnissa, supporting desktop environments and end-user computing solutions. Strong capability in desktop engineering, including deployment, configuration, and support across diverse environments. Collaborative approach to infrastructure troubleshooting, working effectively with subject matter experts to resolve complex issues and implement best practices. Familiarity with cloud service providers and integration of SaaS solutions within enterprise infrastructure, ensuring secure and resilient operations. Management of end user Windows 11 devices via a Unified Endpoint Management platform - system configuration and security, account administration, patching and maintenance