Lead Infrastructure Engineer - Network Engineer

JPMorganChase

Hyderabad, INonsitePosted Jul 24, 2026
Posting intelligenceActively listed

Skills

ansiblepython

About the role

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 world's largest and most influential companies.

As a Lead Infrastructure Engineer at JPMorgan Chase within the Infrastructure Engineering team, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline.

Job responsibilities

Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving the data and systems running at scale, and ensures end to end monitoring of applications

Resolves most nuances and determines appropriate escalation path

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.

Executes conventional approaches to build or break down technical problems

Drives the daily activities supporting the standard capacity process applications

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.

Partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses

Considers upstream/downstream data and systems or technical implications

Be accountable for making significant decisions for a project consisting of multiple technologies and applications

Required qualifications, capabilities, and skills

Formal training or certification on infrastructure engineering concepts and 6+ years applied experience

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.

Operating knowledge of two or more areas of infrastructure engineering such as software defined networks / zero touch provisioning, SD-WAN, fabric switching, Wi-Fi, and network security technologies and practices.

Proficient in specific network infrastructure technology and programming languages (e.g., Python, Ansible, etc.)

Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.

Technical knowledge across multiple domains

Knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds

Drives to develop infrastructure engineering knowledge of additional domains, data fluency, and automation knowledge

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.

Demonstrates strong communication skills, conveying ideas and challenges with clarity and precision to support understanding and effective collaboration

ABOUT US

Questions about this role

Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

Compensation for Network Engineer roles in India varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Network Engineer hub for India medians across recent openings.

Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, Personio, Teamtailor and other major ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.