Sr. Lead Infrastructure Engineer - Network Engineer

JPMorgan Chase; Lake Township (OH); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorgan Chase seeks a Sr. Lead Infrastructure Engineer - Network Engineer to shape enterprise networks across campus, data centers, and WAN.

You will apply deep technical expertise and lead architecture, design, and end-to-end delivery of major initiatives. You will collaborate with platform teams to modernize our infrastructure, leverage AI-assisted capabilities for analysis and automation, and ensure compliance with security and risk standards while mentoring engineers and driving operational

Qualifications

• Senior full-stack network engineering with program leadership across campus, data center, and WAN.
• Excellent stakeholder management and ability to translate tech into actionable options.
• Experience leading incident resolution and driving RCA and prevention plans.
• Strong automation, observability, and secure-change management practices.

Responsibilities

• Lead deep technical analyses and guide mitigation actions.
• Use enterprise AI capabilities to accelerate analysis and documentation.
• Collaborate with platforms to architect changes and modernization.
• Drive multiple complex programs and deliver outcomes end-to-end.
• Provide thought leadership within the product line.
• Ensure compliance, risk, security, and business objectives alignment.
• Promote AI-assisted practices for repeatable, auditable changes.

Skills

Senior network engineering

Program leadership

Stakeholder management

Mentorship

Incident leadership

Automation mindset

Observability

Cloud architectures

AI capabilities

Security/compliance

Tools

Routing & Switching

Cloud platforms

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 Sr. Lead Infrastructure Engineer - Network Engineer at JPMorgan Chase within the Enterprise Technology - Network Services Group, you exhibit both depth and breadth of knowledge regarding 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

• Senior full‑stack network engineering expertise with program technical leadership across campus, data center, and WAN (routing/switching, segmentation, QoS, DNS/DHCP/IPAM), with proven ability to lead architecture/design, guide implementation, and own outcomes end‑to‑end for major initiatives
• Strong customer presence and stakeholder management-credible, calm, and service-oriented in high‑visibility situations; able to translate complex technical topics into clear options, impacts, and recommendations
• Inspires a culture of curiosity and change through mentorship and cross-team collaboration-acts as a change agent by improving operational discipline (change management, documentation, monitoring, post-incident learning), coaching engineers, and aligning security, infrastructure, and vendor teams to unblock delivery and sustain outcomes
• Expert incident/problem leadership (acute & chronic)-can be deployed into complex network issues to triage, coordinate responders, perform deep technical analysis, and drive issues to closure with clear RCAs and prevention plans
• Operational rigor and automation mindset-advocates for observability and repeatable operations (monitoring, alerting, configuration standards, scripting/automation where appropriate) to reduce toil and improve stability
• 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
• Deep knowledge of cloud infrastructure and multiple cloud technologies (ability to operate in and migrate across public and private clouds)

Preferred qualifications, capabilities, and skills

• 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