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Salary
≈ $113k – $226k per year (Estimated)
Location
In office (Jersey City)
Seniority
Middle · 3+ years exp
Visa
H-1B filings in 12 months: 3,429 · for this role: 1,686 · green card filings: 933

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 19, 2026. JPMorganChase scores A on the Alion truth index.

Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

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 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 centers on designing resilient solutions, managing external identity and access controls, onboarding new SaaS platforms, and improving reliability through root-cause 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.
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