Senior Lead Infrastructure Engineer - Network Services Lead for Global HQ

JPMorgan Chase & Co.; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorganChase is seeking a Senior Lead Infrastructure Engineer for the Corporate Sector’s Network Services team in New York. The role requires deep technical expertise across infrastructure disciplines and a specialization to drive multi-technology programs that meet security, resiliency, and auditability standards.

The candidate will lead AI-assisted practices, validate outputs, and coordinate with cross-functional teams to modernize infrastructure while maintaining strict compliance and risk

Qualifications

• Must have formal training or certification on infrastructure engineering concepts.
• 5+ years' applied expertise across campus and WAN domains including extensive wireless experience (Wi‑Fi design, roaming, capacity, interference).
• Ability to communicate complex technical issues to C-level leaders in business terms.

Responsibilities

• Applies deep technical expertise to analyze complex data and systems, anticipate issues, and advise on mitigations.
• Uses enterprise AI capabilities to accelerate infrastructure analysis while ensuring security and sensitivity compliance.
• Architects and implements changes with other platforms to modernize processes and reduce issues.
• Drives multiple complex programs, promotes thought leadership within the product line, and ensures alignment to business objectives.

Job description

Become a member of a team where you can contribute significantly to shaping the future of a world-renowned and influential company. Among top performers, you can make a direct and meaningful impact.

As a Senior Lead Infrastructure Engineer at JPMorganChase within the Corporate Sector’s Network Services team, you exhibit both depth and breadth of knowledge regarding network technologies, software, applications, and technical processes across multiple technical disciplines. You also have a specialization in a specific domain within infrastructure engineering to drive programs or initiatives consisting of multiple technologies and applications.

Job responsibilities

• Applies deep technical expertise and problem-solving methodologies focused on analyzing complex data and systems, anticipating issues, considering upstream and downstream implications, and advising on mitigation actions
• Uses enterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according to sensitivity and security requirements.
• Works with other platforms to architect and implement changes required to resolve issues and modernize the organization and technology processes
• Drives results and implements multiple complex programs
• Drives thought leadership within the product line
• Responsible for infrastructure engineering in accordance with business requirements and executes work according to compliance standards, risk and security, and business objectives
• Leads reuse-first adoption of AI-assisted practices across delivery and automation routines to reduce recurring issues, ensuring changes are validated, traceable and 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 expertise across campus and WAN domains including extensive enterprise wireless experience designing, deploying, and troubleshooting large-scale Wi-Fi (RF design, roaming, capacity planning, interference mitigation, and performance optimization).
• Able to respond quickly in high-visibility environments and interact confidently with C-level leaders, translating technical issues, risk, options, and impact into clear business language (verbal and written).
• Strong troubleshooting and operational rigor using structured methods (root-cause analysis, packet captures, wireless analyzers, log interpretation), and producing actionable post-incident documentation and prevention plans.
• 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.
• Adept in specific infrastructure technology and programming languages

Preferred qualifications, capabilities, and skills

• 10+ years of experience in a similar role
• Applicable certifications