Lead Infrastructure Engineer - NCS Telecom Implementation

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 will play a critical role in building, and optimizing the infrastructure platforms that support our global operations. You will drive technical strategy, mentor fellow engineers, and partner with cross-functional teams to deliver highly available, secure, and performant systems. Your expertise will directly influence how we scale our technology to meet evolving business demands.

Job responsibilities

• Orchestrate post-order carrier milestones across the delivery lifecycle; track progress, identify risks, and drive mitigation to keep delivery predictable.
• Coordinate install and cutover execution, including site/provider scheduling, internal handoffs, maintenance windows, and execution readiness.
• Plan and execute testing aligned to agreed acceptance criteria; capture and manage test evidence and implementation exceptions through to resolution or documented acceptance.
• Complete BAU handover with closure evidence and required metadata; ensure documentation quality supports operational readiness and auditability.
• Execute decommission/disconnect activities where in scope, with appropriate governance and closure evidence.
• Partner with the Demand Managers for customer-facing status communications, providing accurate milestone updates, risks, and mitigation plans.
• Coordinate with telecom providers, vendors, and internal engineering teams end-to-end – from design through acceptance testing and BAU handover – driving performance against SLAs.
• Manage change control inputs, cost governance inputs, and documentation hygiene across connectivity implementations.
• 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.
• 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.
• Required qualifications, capabilities, and skills
• Formal training or certification on infrastructure engineering concepts and 5+ years applied experience
• Proven implementation delivery / service delivery experience, within a global financial or regulated enterprise environment.
• Deep knowledge of networking and telecommunications technologies (Layers 0–3), including dark fiber, DWDM, Ethernet, IP-VPN, DIA, broadband, cellular, and satellite connectivity.
• Experience coordinating delivery with telecom service providers and managed service providers, including contract and SLA oversight.
• Strong stakeholder management and communication skills, with the ability to influence and build trust across business and technical domains.
• Strong organizational and time management skills, with the ability to manage multiple concurrent implementations across geographies.
• Working familiarity with cloud connectivity and hybrid architectures (e.g., public cloud on-ramps, private connectivity patterns) and how they impact implementation planning and testing.
• 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.
• 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 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 using Atlassian tools (Jira and Confluence) for workflow, documentation, reporting, and closure evidence management.
• Familiarity with cloud connectivity and hybrid architectures.
• Relevant cloud certifications (e.g., AWS Solutions Architect, Azure Administrator).
• Data analytical skills – ability to interrogate, model, and visualize delivery datasets to identify trends, cost drivers, and delivery risks.
• Experience in financial services or other highly regulated industries.
• Experience leveraging AI and automation to streamline service delivery workflows.