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Lead Infrastructure Engineer at JPMorgan Chase, Jersey City, NJ

Lead Infrastructure Engineer at JPMorgan Chase in Jersey City, NJ. Est. up to $200k. Apply with swipeandhired.

You belong to the top echelon of talent in your field. At one of the world's most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role.

As a Lead Infrastructure Engineer at JPMorganChase within Corporate Sector Enterprise Technology, Employee Platforms, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. You apply your technical expertise and problem-solving methodologies across complex, cross-platform infrastructure initiatives, driving solutions from design through implementation and operational readiness.

The External Collaboration Engineer is a hands-on technical role focused on developing, integrating, and operating the enterprise’s external collaboration platforms, with an emphasis on technologies that support secure partner engagement. Working across engineering, security, and business functions, this role ensures that tools such as Virtual Data Rooms, Microsoft 365 B2B, Slack, including external organizations, shared channels, and partner workflows, client portals, and Google Workspace are robust, compliant, and optimized for seamless cross-company collaboration. The position provides technical leadership across these platforms, designing resilient solutions, establishing engineering patterns, managing external identity and access controls, onboarding new SaaS platforms and capabilities, and driving complex issues through root-cause analysis and sustainable remediation.

Job Responsibilities

Leads the design and delivery of infrastructure solutions across External Collaboration platforms, applying technical expertise to complex, cross-platform initiatives and ensuring end-to-end monitoring and operational readiness.

Uses enterprise-authorized AI capabilities within the work environment to accelerate monitoring, capacity analysis, and documentation, validating outputs and handling operational data according to sensitivity and security requirements.

Owns complex technical issues through resolution, determining appropriate remediation and escalation paths across engineering, security, vendor, and business teams.

Designs and evaluates solutions across upstream and downstream systems while considering integration, identity, security, resiliency, performance, and operational implications.

Leads technical activities supporting platform capacity, reliability, and operational health, partnering with application and infrastructure teams to identify risks and drive remediation.

Makes significant technical decisions across initiatives spanning multiple technologies, applications, and external SaaS platforms.

Applies reuse-first, AI-assisted approaches to identify recurring risks and improve engineering and remediation workflows, ensuring changes are validated and aligned to resiliency, security, and auditability expectations.

Provides technical leadership and guidance to engineers and partner teams, establishes engineering patterns, and helps drive consistency across the External Collaboration platform portfolio.

Required qualifications, capabilities, and skills

Formal training or certification in infrastructure engineering concepts and 5+ years of applied infrastructure engineering experience , with demonstrated experience leading complex technical initiatives.

Advanced knowledge of one or more scripting languages, such as PowerShell or Python.

Experience with cloud-native architectures across Azure or AWS, serverless computing, and infrastructure as code, such as Terraform.

Deep experience implementing enterprise identity and access patterns, including Single Sign-On using SAML 2.0 or OAuth 2.0/OIDC and secure authentication practices.

Strong experience across one or more infrastructure disciplines, including databases, storage engineering, deployment practices, integration, automation, scaling, resilience, observability, and performance assessments.

Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows, with strong validation practices and awareness of data sensitivity.

Ability to review and validate AI-assisted recommendations before implementation, escalating when appropriate and ensuring outcomes align to resiliency, security, and auditability expectations.

Experience with multiple cloud technologies and the ability to operate across public and private cloud environments.

Demonstrated ability to lead technical design and troubleshooting across multiple systems and influence engineering decisions across teams.

Preferred qualifications, capabilities, and skills

Experience building applications using modern development frameworks and languages, such as Node.js, Java, Go, and C#/.NET.

Familiarity with enterprise IT operations, change control, incident management, and production-readiness practices.

Experience engineering or operating enterprise SaaS and collaboration platforms in a regulated environment.

Experience working with third-party SaaS vendors and cross-functional security, risk, product, and engineering teams.

Experience providing technical leadership, mentoring engineers, or establishing reusable engineering standards and patterns.