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Salary
≈ $74k – $171k per year (Estimated)
Location
In office (Singapore)
Seniority
Staff · 5+ years exp

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 21, 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.

Assume a vital position as a key member of a high-performing Network Operations team that delivers infrastructure reliability, operational excellence, and customer-focused service delivery. Your role will be instrumental in supporting one of the world's largest and most influential companies by ensuring the stability, resilience, and evolution of critical network infrastructure.

As a Lead Infrastructure Engineer at JPMorganChase within Network Operations, you apply deep knowledge of networking technologies, infrastructure engineering, operational processes, and technical troubleshooting. You will serve as a primary point of contact for incident, problem, change, risk, vendor, and client management activities while collaborating with engineering, SRE, and product teams to improve operational outcomes and modernize technology processes.

Job Responsibilities

  • Applies technical expertise and problem-solving methodologies to projects of moderate scope and executes creative solutions for design, development, troubleshooting, and operational support.
  • Serves as a primary customer interface for day-to-day operational issues, escalations, and service delivery activities.
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
  • Drives workstreams involving one or more infrastructure engineering technologies and partners with SRE, Product Engineering, and Infrastructure teams to resolve issues and modernize technology processes.
  • Leads or supports major incident, problem, and change management activities for critical production environments.
  • Strongly considers upstream and downstream technical impacts and advises on mitigation actions, resiliency improvements, and service evolution opportunities.
  • Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes remain traceable, auditable, resilient, and secure.
  • Supports lifecycle management, vendor engagement, consumption reporting, capacity planning, and infrastructure governance activities.
  • Acts as an escalation point for complex infrastructure issues and provides technical leadership and mentoring to less experienced engineers.
  • Collaborates with global teams to define and improve operational processes, reporting, monitoring, observability, and automation capabilities.

Required Qualifications, Capabilities, and Skills

  • Formal training or certification on infrastructure engineering concepts and 5+ years applied experience
  • Bachelors Degree in Computer Science or equivalent
  • Deep knowledge of one or more areas of infrastructure engineering including networking, hardware, databases, storage, deployment practices, integration, automation, scaling, resilience, performance management, or cloud technologies.
  • Experience in network operations and infrastructure support with proven ability to lead major incident bridge calls and coordinate recovery activities across multiple technology teams.
  • 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 necessary and ensuring outcomes align with resiliency, security, risk, and auditability requirements.
  • Deep knowledge of one or more infrastructure technologies and relevant scripting or automation languages, cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private cloud environments.
  • Proven experience supporting large-scale enterprise network environments, including Routing & Switching, Datacenter Technologies, Network Security, Load Balancing, Proxy Services, Wireless, Optical Transport, and related infrastructure technologies.
  • Strong experience with monitoring, observability, packet analysis, troubleshooting, and capacity management tools.
  • Experience working in Linux-based environments and understanding version control practices.
  • Strong written and verbal communication skills with the ability to articulate complex technical findings to technical and non-technical stakeholders possessing strong customer focus and the ability to collaborate effectively across global teams in a mission-critical 24x7 environment.

Preferred Qualifications, Capabilities, and Skills

  • Experience mentoring engineers and contributing to team development activities.
  • Experience supporting SRE, automation, observability, or operational transformation initiatives.
  • Industry certifications in networking, cloud, security, or infrastructure technologies.
  • Experience driving operational excellence, service improvement, and infrastructure modernization programs.
  • Experience working in banking, financial services, technology, or similarly regulated industries preferred.
  • Ability to use or learn automation and scripting languages such as Python and Ansible.
  • Ability to work on a shift coverage (either) Frontend Shift: Sunday to Thursday, 8:00am to 5:00pm SGT or Backend Shift: Tuesday to Saturday, 8:00am to 5:00pm SGT
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