Lead infrastructure engineering for large-scale network systems: design, capacity planning, monitoring, automation, and resiliency. Validate AI-assisted recommendations, partner across teams to remediate capacity risks, and make project-level technical decisions.
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 JPMorgan Chase within the Infrastructure Engineering team, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline.
Job responsibilities
- Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving the data and systems running at scale, and ensures end to end monitoring of applications
- Resolves most nuances and determines appropriate escalation path
- 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.
- Executes conventional approaches to build or break down technical problems
- Drives the daily activities supporting the standard capacity process applications
- 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.
- Partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
- Considers upstream/downstream data and systems or technical implications
- Be accountable for making significant decisions for a project consisting of multiple technologies and applications
Required qualifications, capabilities, and skills
- Formal training or certification on infrastructure engineering concepts and 6+ years applied experience
- 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.
- Operating knowledge of two or more areas of infrastructure engineering such as software defined networks / zero touch provisioning, SD-WAN, fabric switching, Wi-Fi, and network security technologies and practices.
- Proficient in specific network infrastructure technology and programming languages (e.g., Python, Ansible, etc.)
- Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
- Technical knowledge across multiple domains
- Knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds
- Drives to develop infrastructure engineering knowledge of additional domains, data fluency, and automation knowledge
Preferred qualifications, capabilities, and skills
- Experience with wired/wireless LAN/BGP WAN/SD-WAN and 802.1x technologies from vendors including Cisco, Arista, Juniper, Fortinet, and Forescout
- Exhibits a growing initiative and the ability to manage assigned tasks efficiently, seeking guidance when needed and showing a willingness to find solutions and contribute to improvements with some supervision.
- Demonstrates strong communication skills, conveying ideas and challenges with clarity and precision to support understanding and effective collaboration
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