Senior Lead Infrastructure Engineer

JPMorganChase • Jersey City, NJ

15h

About The Position

As a Senior Lead Infrastructure Engineer on JPMorganChase’s Corporate Technology End User Compute team, you will apply deep and broad knowledge of software, applications, and technical processes across multiple technical disciplines. You will specialize in an infrastructure engineering domain and drive programs or initiatives involving multiple technologies and applications. The role focuses on enterprise infrastructure engineering, including Palo Alto technologies, Zero Trust and SSE/SASE architectures, cloud infrastructure, and operationally governed security controls. You will use enterprise-authorized AI capabilities to support infrastructure engineering workflows, validating AI-assisted outputs and ensuring that changes are secure, resilient, traceable, and auditable.

Requirements

• Formal training or certification in infrastructure engineering concepts and at least 5 years of applied experience.
• Knowledge of one or more infrastructure engineering areas, such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments.
• Experience with Palo Alto in large-scale, multi-region enterprise deployments.
• Experience with Zero Trust and SSE/SASE architectures for end-user connectivity.
• Experience integrating endpoint, identity, SIEM, and network security controls for governed operations.
• Hands-on experience deploying and supporting Palo Alto firewalls, Prisma services, and Strata Cloud Manager in enterprise environments.
• Experience with operational discipline in incident, problem, and change management, as well as audit-ready documentation.
• Demonstrated experience using enterprise-authorized AI capabilities in infrastructure engineering workflows, with strong validation habits and awareness of data sensitivity.
• Ability to validate AI-assisted recommendations before implementation, escalate uncertainty, and ensure outcomes meet resiliency, security, and auditability expectations.
• Deep knowledge of cloud infrastructure and multiple cloud technologies, with the ability to operate in and migrate across public and private clouds.

Nice To Haves

• Familiarity with API-driven automation, policy validation, and CI/CD-aligned infrastructure workflows.
• Proven leadership in geographically distributed, follow-the-sun support models.

Responsibilities

• Apply deep technical expertise and problem-solving methods to analyze complex data and systems, anticipate issues, assess upstream and downstream impacts, and advise on mitigation actions.
• Use enterprise-authorized AI capabilities to accelerate analysis of infrastructure signals and document mitigation options, validating outputs and handling operational data according to sensitivity and security requirements.
• Work with other platforms to architect and implement changes that resolve issues and modernize organizational and technology processes.
• Drive results and implement multiple complex programs.
• Provide thought leadership within the product line.
• Deliver infrastructure engineering according to business requirements, compliance standards, risk and security expectations, and business objectives.
• Lead reuse-first adoption of AI-assisted practices across delivery and automation routines to reduce recurring issues, ensuring changes are validated, traceable, auditable, resilient, and secure.
• Review and validate AI-assisted recommendations before implementation, escalating when uncertain.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed