Lead Infrastructure Engineer - Networks

JPMorganChase; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Infrastructure Engineer to join the Infrastructure Platforms team. The role focuses on applying deep infrastructure engineering knowledge to improve performance and reliability across software, applications, and processes.

The engineer will drive architecture and end-to-end delivery for major initiatives, leveraging enterprise AI to accelerate analysis and design while ensuring changes are auditable, secure, and compliant in cloud and on-prem environments.

Qualifications

• Formal training or certification on infrastructure engineering concepts.
• 5+ years applied experience in infrastructure engineering.
• Experience leading architecture/design and end-to-end outcomes.

Responsibilities

• Applies technical expertise to projects of moderate scope and develops design solutions.
• Uses enterprise AI capabilities to accelerate infrastructure analysis and design, ensuring security and data sensitivity.
• Drives workstreams or projects involving infrastructure technologies and coordinates with other platforms to modernize the organization.
• Considers upstream/downstream data implications and suggests mitigations.
• Promotes reuse-first, AI-assisted practices in delivery and automation with auditable changes.

Skills

Infrastructure engineering

Network architecture

AI in infrastructure

Cloud infrastructure

Scripting languages

Security and compliance

Education

Infrastructure certification

Job description

Job Description:

Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the worlds largest and most influential companies.

As a Lead Infrastructure Engineer at JPMorgan Chase within the Infrastructure Platforms team, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise.

Job responsibilities

• Applies technical expertise and problem-solving methodologies to projects of moderate scope and executes creative solutions for design, development, and technical troubleshooting for problems of moderate complexity
• 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 a workstream or project consisting of one or more infrastructure engineering technologies and works with other platforms to architect and implement changes required to resolve issues and modernize the organization and technology processes
• Strongly considers upstream and downstream data and systems or technical implications and advises on mitigation actions
• Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.

Required qualifications, capabilities, and skills

• Formal training or certification on infrastructure engineering concepts and 5+ years applied experience
• Senior full-stack network engineering expertise with across campus, data center, and WAN (routing/switching, segmentation, QoS, DNS/DHCP/IPAM), with proven ability to lead architecture/design, guide implementation, and own outcomes end-to-end for major initiatives.
• Deep knowledge of one or more areas of infrastructure engineering such as: hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience or 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.
• Deep knowledge of one specific infrastructure technology and scripting languages
• Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds
• Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
• Deep knowledge of one specific infrastructure technology and scripting languages
• Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds

Preferred qualifications, capabilities, and skills

• Experience with wired/wireless LAN/BGP WAN/SD-WAN and 802.1x technologies from vendors including Cisco, Arista, Juniper, Fortinet, and Forescout
• 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