Senior Lead Infrastructure Engineer: AI-Driven Networking

jpmorgan chase bank, n.a.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase is seeking a Senior Lead Infrastructure Engineer to drive design, implementation, and optimization of global data center and network platforms. You will lead complex projects, mentor engineers, and apply AI-assisted methods to improve reliability and security across enterprise infrastructure.

The role emphasizes collaboration across platforms, deep technical networking expertise, and hands-on tooling with automation and code-driven workflows.

Qualifications

• 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.

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

Skills

Network architecture

Routing & switching

Automation

Leadership

Security & resiliency

Problem solving

AI-assisted practices

Education

Bachelor’s Degree in Computer Science

Related disciplines

Tools

Cisco Nexus

Arista platforms

NFC: Network as Code

Arista CVP

Ansible

Terraform

Python

CI/CD pipelines

Job description

JPMorgan Chase is seeking a Senior Lead Infrastructure Engineer to drive design, implementation, and optimization of global data center and network platforms. You will lead complex projects, mentor engineers, and apply AI-assisted methods to improve reliability and security across enterprise infrastructure.

The role emphasizes collaboration across platforms, deep technical networking expertise, and hands-on tooling with automation and code-driven workflows.