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Salary
≈ $170k – $351k per year (Estimated)
Location
In office (United States)
Seniority
Staff · 5+ years exp

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 20, 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.

Become a member of a team where you can contribute significantly to shaping the future of a world-renowned and influential company. Among top performers, you can make a direct and meaningful impact.

As a Senior Lead Infrastructure Engineer at JPMorgan Chase within the Corporate Sector - Enterprise Network team, you exhibit both depth and breadth of knowledge regarding software, applications, and technical processes across multiple technical disciplines. You also have a specialization in a specific domain within infrastructure engineering to drive programs or initiatives consisting of multiple technologies and applications.

Job responsibilities

  • Applies deep technical expertise and problem-solving methodologies focused on analyzing complex data and systems, anticipating issues, considering upstream and downstream implications, and advising on mitigation actions
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according to sensitivity and security requirements
  • Partners with other platforms to architect and implement changes required to resolve issues and modernize the organization and technology processes
  • Executes conventional approaches to build or break down technical problems
  • Drives results and implements multiple complex programs.
  • Drives thought leadership within the product line
  • Partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
  • Responsible for infrastructure engineering in accordance with business requirements and executes work according to compliance standards, risk and security, and business objectives
  • Leads reuse-first adoption of AI-assisted practices across delivery and automation routines to reduce recurring issues, ensuring changes are validated, traceable and auditable, and aligned to resiliency and security expectations

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering or infrastructure engineering and 5+ years applied experience
  • Enterprise-scale NAC engineering and rollout leadership, including architecture/design, discovery/classification/control policy creation, phased enforcement for unauthorized devices, and operational ownership across enterprise network (notably ForeScout/CounterACT and integrations to networking stacks).
  • Strong NAC visibility and integration posture: deployment/maintenance of relevant plugins/modules and telemetry feeds (e.g., wireless controllers, switch integrations, endpoint security tool modules) to enrich admission decisions and executive reporting.
  • Bachelor’s degree in Computer Science, Cybersecurity, Data Science, or related discipline
  • Proficient in specific network infrastructure technology and programming languages (e.g., Python, Ansible, etc.)
  • 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
  • Drives to develop infrastructure engineering knowledge of additional domains, data fluency, and automation knowledge

Preferred qualifications, capabilities, and skills

  • Exhibits a growing initiative and the ability to manage assigned tasks efficiently, seeking guidance when needed and showing a willingness to find solutions and contribute to improvements with some supervision
  • Demonstrates strong communication skills, conveying ideas and challenges with clarity and precision to support understanding and effective collaboration
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