Lead Infrastructure Engineer

Carry out critical infrastructure engineering solutions across Network Services and Identity as an integral part of an agile team

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 Network Services, you apply deep knowledge of network, infrastructure, 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.

Deep knowledge of one or more areas of network infrastructure engineering such as: hardware, active directory, networking, 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

Practical experience with infrastructure-as-code and automation frameworks (for example: Ansible, Terraform, Nornir, GitOps workflows).

Deep knowledge of data center infrastructure, with the ability to operate in and migrate across on-premises, public and private clouds.

Preferred qualifications, capabilities, and skills

Practical experience with infrastructure-as-code and automation frameworks (for example: Ansible, Terraform, Nornir, GitOps workflows).