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Salary
$112k – $253k per year (Estimated)
Location
In office (Singapore)
Seniority
Staff · 5+ years exp
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 Infrastructure Platforms, Shared Network Services, you will leverage your extensive knowledge of software, applications, and technical systems and processes in infrastructure engineering, along with advanced expertise in other disciplines. You will contribute to the development of technical methods in a specialized field or area, aligning with product development methodologies. Your role involves applying in-depth expertise and problem-solving methodologies to plan, accomplish, and review tasks across multiple large-scope projects in various technical areas.

Job responsibilities

  • Identifies and solves problems of high complexity associated with infrastructure engineering technology.
  • Applies extensive in-depth expertise and problem-solving to accomplish, plan, and review tasks across multiple large scope projects and businesses/domains to influence, manage and implement functional technology platforms.
  • Responsible for high impact projects requiring deep technical expertise and leadership.
  • Partners across other platforms to architect and implement changes required to resolve issues and modernize the organization and its technological processes.
  • Drives thought leadership within the product line and/or platform.
  • Extensive consideration of upstream/downstream system or technical implications and advice on mitigation actions
  • 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.
  • 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.
  • Mentors and coach’s junior engineers and technologists

Required qualifications, capabilities, and skills

  • Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines
  • Formal training or certification on infrastructure engineering concepts and 5+ years applied experience.
  • Experience in network architecture, design, and engineering within large enterprises.
  • Deep technical expertise in data center networking technologies: Cisco, Arista, Juniper, Nexus, ACI, BGP, EVPN, VXLAN, etc.
  • Hands-on experience with routing and switching technologies, including BGP, OSPF, IS-IS, VLANs, STP, VPC/MLAG, and stacking.
  • Practical experience with Cisco and Arista platforms (e.g., Nexus Series, Catalyst).
  • Strong experience with automation frameworks (e.g., Ansible, Terraform, Python, CI/CD pipelines) for network infrastructure.
  • Experience with Arista CVP, AVD, Cisco NFM, Cisco Network as Code
  • Demonstrated success in leading stability and resiliency programs including change management, incident response, and RCA.
  • 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.
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