JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Infrastructure Engineer - NCS Telecom Implementation

IT Project ManagementConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

Formal training or certification in infrastructure engineering concepts and at least five years of applied experience.
Proven implementation delivery or service delivery experience in a global financial or regulated enterprise environment.
Deep knowledge of networking and telecommunications technologies across 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 service-level agreement oversight.
Ability to manage stakeholders and communicate effectively to influence and build trust across business and technical domains.
Strong organizational and time-management skills, including the ability to manage multiple concurrent implementations across geographies.
Working familiarity with cloud connectivity and hybrid architectures, such as public cloud on-ramps and private connectivity patterns, and their impact on implementation planning and testing.
Deep knowledge of one or more infrastructure engineering areas, such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments.
Demonstrated experience using enterprise-authorized AI capabilities in 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, escalate when uncertain, and ensure outcomes align with 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.

Responsibilities

Orchestrate post-order carrier milestones across the delivery lifecycle, track progress, identify risks, and drive mitigation to keep delivery predictable.
Coordinate installation and cutover execution, including site and 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 resolution or documented acceptance.
Complete business-as-usual handover with closure evidence and required metadata, ensuring documentation quality supports operational readiness and auditability.
Execute decommissioning and disconnection activities where in scope, with appropriate governance and closure evidence.
Partner with Demand Managers on customer-facing status communications, providing accurate milestone updates, risks, and mitigation plans.
Coordinate with telecom providers, vendors, and internal engineering teams from design through acceptance testing and business-as-usual handover, driving performance against service-level agreements.
Manage change-control inputs, cost-governance inputs, and documentation hygiene across connectivity implementations.
Consider upstream and downstream data, systems, and technical implications, and advise on mitigation actions.
Apply reuse-first, AI-assisted practices in delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable, auditable, and aligned with resiliency and security expectations.
Use enterprise-authorized AI capabilities in the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.

Desired Qualifications

Experience using Atlassian tools, including Jira and Confluence, for workflow, documentation, reporting, and closure-evidence management.
Familiarity with cloud connectivity and hybrid architectures.
Relevant cloud certifications, such as AWS Solutions Architect or Azure Administrator.
Data analytical skills, including the 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.

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.

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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