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JPMorgan Chase

investment banking · commercial banking

Lead Infrastructure Engineer- ANS Risk Remediation (Hyderabad)

HyderabadPosted 1 month ago
Infrastructure And DatabasesSeniorFull Time; Regular
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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 network 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 Own network risk identification and remediation across firewalls, proxies, routers, switches, load balancers, and related platforms. Assist with Audit RFIs, ensuring timely and accurate responses to audit inquiries. Drive execution end-to-endprioritizing work, ensuring timely follow-through, and managing stakeholderswhile clearly presenting status, risks, and decisions to senior leadership. Lead risk remediation initiatives, pinpointing root causes and executing effective solutions. Establish operational excellence: runbooks, standards, diagrams, and repeatable controls that are audit-ready. Build and maintain KRIs/KPIs and dashboards for leadership reporting (exposure, SLA adherence, control health). Partner across Cyber, Technology, and Operations to reduce operational, cyber, data, and resiliency risk. Solid ability to communicate complex risk concepts clearly and effectively to diverse audiences, including senior management and external stakeholders. 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 recurrin .

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