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**Infrastructure Engineer III - JPMorgan Chase in Jersey City, NJ** - Design, deploy, and maintain scalable infrastructure; manage capacity planning and risk remediation - Utilize scripting languages (e.g., Python, PowerShell) and infrastructure as code (Terraform) for automation - Implement and manage secure authentication practices (SAML2, OAuth2/OIDC) - Collaborate with teams for capacity risk identification and remediation; leverage AI-assisted approaches - 3+ years of experience in infrastructure engineering; familiarity with cloud-native architectures (Azure, AWS)

Compensation: Not specified
City: Not specified
Country: United States

Full Job Description

Location: Jersey City, NJ, United States

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 an Infrastructure Engineer III at JPMorganChase within the

Corporate Sector Enterprise Technology, Employee Platforms, you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope.

The External Collaboration Engineer is a handson technical role focused on developing, integrating, and operating the enterprises external collaboration platformswith 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 crosscompany collaboration. The position centers on designing resilient solutions, managing external identity and access controls, onboarding new SaaS platforms, and improving reliability through rootcause analysis and continuous operational enhancements.

Job responsibilities

Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving data and systems running at scale, and ensures end to end monitoring of applications
Uses enterprise-authorized AI capabilities within the work environment to accelerate monitoring and capacity analysis and documentation, validating outputs and handling operational data according to sensitivity and security requirements.
Resolves most nuances and determines appropriate escalation path
Executes conventional approaches to build or break down technical problems while considering upstream and downstream data and systems or technical implications
Drives the daily activities supporting the standard capacity process applications and partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
Accountable for making significant decisions for a project consisting of multiple technologies and applications
Applies reuse-first, AI-assisted approaches to identify recurring capacity risks and improve remediation workflows, ensuring changes are validated and aligned to resiliency and security expectations.

Required qualifications, capabilities, and skills

Formal training or certification on infrastructure engineering concepts and 3+ years applied experience
Strong knowledge of one or more scripting languages (e.g., PowerShell, Python).
Experience with cloud-native architectures (Azure or AWS), serverless computing and infrastructure as code (Terraform) .
Experience implementing Single-Sign-On using SAML2 or OAuth2/OIDC and secure authentication practices.
Strong knowledge of one or more infrastructure disciplines such as databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and 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.
Strong knowledge of one or more scripting languages
Experience with multiple cloud technologies (ability to operate in and migrate across public and private clouds)

Preferred qualifications, capabilities, and skills

Experience with building applications using modern development frameworks and languages (e.g., Node.js, Java, Go and C#/.NET).
Familiarity with enterprise IT operations, change control, and incident management.

Leverage your strong knowledge of software, applications, and technical processes across multiple applications

Full Job Description

Location: Jersey City, NJ, United States

Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving data and systems running at scale, and ensures end to end monitoring of applications
Uses enterprise-authorized AI capabilities within the work environment to accelerate monitoring and capacity analysis and documentation, validating outputs and handling operational data according to sensitivity and security requirements.
Resolves most nuances and determines appropriate escalation path
Executes conventional approaches to build or break down technical problems while considering upstream and downstream data and systems or technical implications
Drives the daily activities supporting the standard capacity process applications and partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
Accountable for making significant decisions for a project consisting of multiple technologies and applications
Applies reuse-first, AI-assisted approaches to identify recurring capacity risks and improve remediation workflows, ensuring changes are validated and aligned to resiliency and security expectations.

Required qualifications, capabilities, and skills

Formal training or certification on infrastructure engineering concepts and 3+ years applied experience
Strong knowledge of one or more scripting languages (e.g., PowerShell, Python).
Experience with cloud-native architectures (Azure or AWS), serverless computing and infrastructure as code (Terraform) .
Experience implementing Single-Sign-On using SAML2 or OAuth2/OIDC and secure authentication practices.
Strong knowledge of one or more infrastructure disciplines such as databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and 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.
Strong knowledge of one or more scripting languages
Experience with multiple cloud technologies (ability to operate in and migrate across public and private clouds)

Preferred qualifications, capabilities, and skills

Experience with building applications using modern development frameworks and languages (e.g., Node.js, Java, Go and C#/.NET).
Familiarity with enterprise IT operations, change control, and incident management.

Leverage your strong knowledge of software, applications, and technical processes across multiple applications

Infrastructure Engineer III

Full Job Description

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