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Verified Job Manufacturing - Operations

Lead Infrastructure Engineer -Network Operation SME(Subject Matter Expert)

Bengaluru, Karnataka
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Manufacturing - Operations
#736794
Remote / WFH
JPMorganChase

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 world's 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

Potential to participate in Team Talent evaluation and assist management in performing performance appraisals
Plan, track, and manage the proper use of technology infrastructure to optimize delivery and cost
Create original documentation and update existing documentation
Act independently and leverage critical thinking
Serve as point of escalation for 40x, 50x, and 60x level team members
Advocate for the customer base when faced with infrastructure or business-critical issues
Articulate and share clear, concise, complex technical findings to management in understandable terms
Collaborate with high-performing teams and team members throughout the firm to accomplish common goals
Perform day-to-day incident and problem management of major, globally impacting data issues, proactive infrastructure management, and serve as a Subject Matter Expert in 2–3 technologies by attending bridge calls, addressing tickets, and working with the GNS Tier 4/PE organizations on bug fixes, design changes, and code upgrades
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.
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
Network operations / infrastructure support experience, including the ability to lead P1 incident bridges in a 24x7 high-pressure environment.
Deep knowledge of network infrastructure components, including asset tracking/management across enterprise systems.
Proficiency in multiple infrastructure technology domains, with strong understanding of the risk and controls landscape to ensure firm standards are met.
Experience in banking, exchange, or technology environments within a global organization.
Experience with enterprise network topologies: routing/switching, data center, wireless, security/services, load balancing, proxy, and optical.
Expertise in multicast, low-latency networks, and market data technologies.
Strong experience with protocol analyzers and capacity/monitoring tools (e.g., Wireshark, Splunk, SevOne, ThousandEyes).
Scripting/automation skills (Python/Ansible), version control best practices, Linux experience, and strong written/verbal communication.
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

In-depth knowledge of the network infrastructure supported.
Executes in a client-centric environment for teams and contributors.
Assists management in performing performance appraisals.
Drives service ownership, reliability, and continuous improvement.
Influences and coordinates
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