Designs, implements, operates, and troubleshoots large-scale data center network services. Responsibilities include routing and switching, network migrations and cutovers, documentation, monitoring, root-cause analysis, security integration, vendor coordination, and automation. The role improves network resiliency, performance, standardization, and operational efficiency while using and validating enterprise-authorized AI capabilities.
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 JPMorgan Chase within the Infrastructure Platforms team, 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.
Job responsibilities
As an Infrastructure Engineer III at JPMorgan Chase within the Infrastructure Platforms team, 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.
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
- Implement and operate data center network services including builds, migrations, upgrades, expansions, and decommissions in alignment with enterprise standards
- Translate business and technical requirements into implementation plans that meet performance, resiliency, security, and operational goals
- Create and maintain network documentation, including implementation plans, as-built diagrams, standards, and operational runbooks
- Partner with application teams, infrastructure stakeholders, and vendors to plan and deliver network changes safely
- Coordinate and execute cutovers to ensure low-risk changes and successful implementation outcomes
- Troubleshoot complex network issues across routing, switching, and network services
- Drive root-cause analysis and remediation to reduce recurring incidents and improve stability
- Improve processes and contribute to automation and standardization efforts to drive operational excellence
- 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.
- 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
- Demonstrates strong hands-on experience of network engineering and/or implementation experience in a large-scale enterprise environment
- Demonstrates strong hands-on experience with routing technologies and protocols (BGP, OSPF, IS-IS)
- Demonstrates strong hands-on experience of implementing or operating Cisco networking solutions (e.g., Nexus, Catalyst) or equivalent experience with comparable platforms (e.g., Arista, Juniper)
- Strong understanding of IP routing fundamentals
- Strong understanding of Ethernet switching fundamentals
- Strong understanding of network security concepts (segmentation, ACLs, firewall integration)
- Working knowledge of enterprise network services and connectivity patterns (e.g., DNS, web proxy patterns, VPN technologies, multicast where applicable)
- Strong knowledge of one or more infrastructure disciplines such as: hardware, networking terminology, 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
Preferred qualifications, capabilities, and skills
- Bring low-latency data center networking experience (e.g., Nexus 3K / Arista-class platforms, or similar ultra-low-latency environments)
- Hold relevant networking certifications (e.g., Cisco certifications)
- Leverage scripting/automation skills (e.g., Python, Bash/KSH, or similar) to support repeatable implementations and operational efficiency
- Demonstrate experience with load balancing and firewall technologies (e.g., F5, Check Point, Fortinet or equivalent) and working in multi-platform, distributed enterprise environments with strong change management rigor
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