About The Role

Now is your opportunity to take charge as a leader of highly skilled infrastructure teams at one of the world's largest and most influential companies.

If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions.

As a Lead Infrastructure Engineer at JPMorganChase within the Infrastructure Platform - Network Services, you are an integral part of a team that works to develop high-quality architecture solutions for various software applications and platform products. You drive significant business impact and help shape the target state architecture through your capabilities in multiple architecture domains.

Lead a team responsible for secure, resilient network infrastructure with strong ownership of risk remediation, audit readiness, and standardized engineering/change execution across on-prem and cloud environments. You will drive operational excellence, partner across functions, and ensure the adoption of enterprise-authorized AI capabilities to improve delivery speed and quality.

Job responsibilities

Own network risk identification and remediation across firewalls, proxies, routers, switches, load balancers, and related platforms.
Lead risk and audit-driven execution, assisting with Audit RFIs and ensuring timely, accurate responses to audit inquiries.
Drive end-to-end execution by prioritizing work, ensuring timely follow-through, and managing stakeholders.
Present status, risks, and decisions clearly to senior leadership.
Lead risk remediation initiatives, pinpointing root causes and executing effective solutions.
Establish operational excellence through runbooks, standards, diagrams, and repeatable controls that are audit-ready.
Build and maintain KRIs/KPIs and dashboards for leadership reporting (exposure, SLA adherence, control health).
Partner across Cyber, Technology, and Operations to reduce operational, cyber, data, and resiliency risk.
Lead team adoption of enterprise-authorized AI capabilities to improve delivery speed and quality, with human-in-the-loop validation and appropriate handling of sensitive data.
Provide immediate team with tasks, guidance, and expectations, overseeing work within the infrastructure engineering discipline.
Identify and escalate issues to execute according to compliance standards, risk and security, and service-level agreements.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience.
Risk/controls exposure and tooling familiarity (e.g., Archer or similar GRC platforms).
Relevant certifications in network/security or risk fundamentals, and commitment to continuous learning in risk and resilience.
Experience leading infrastructure engineering projects and team members.
Experience leading teams in the safe use of enterprise-authorized AI capabilities within the work environment for infrastructure engineering workflows.
Ability to review and validate AI-assisted recommendations before adoption, escalating uncertainty and ensuring outcomes align to resiliency, security, and auditability expectations.
Deep knowledge of one or more areas of infrastructure engineering such as hardware, networking engineering, deployment practices, integration, automation, scaling, resilience, or system performance assessments.
Proficiency in automation for infrastructure engineering tasks.
Strong stakeholder management and communication skills.
Demonstrated ability to apply technical expertise, leadership, and business knowledge to projects of moderate scope.
Experience with cloud and hybrid network environments.

Preferred qualifications, capabilities, and skills

Experience with cloud and hybrid network environments.
Advanced certifications in networking or security (e.g., CCNP, CISSP).
Experience with regulatory compliance in financial services.
Familiarity with DevOps and Infrastructure as Code (IaC) practices.
Experience with large-scale network transformation projects.
Demonstrated ability to drive continuous improvement and innovation.
Experience promoting reuse-first practices for AI-assisted workflows across delivery routines.