Lead Infrastructure Engineer- VMware

JP Morgan Chase; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

JP Morgan Chase in Bengaluru seeks a senior engineering professional to lead enterprise-scale virtualization and infrastructure efforts. As Lead Infrastructure Engineer within Enterprise Technology, Compute Platform Engineering, you will architect VMware VCF across global data centers, automate and secure operations, and mentor teams to raise platform quality.

This role emphasizes AI-assisted workflows, zero-downtime upgrades, and thorough documentation to support tens of thousands of workloads.

Qualifications

• 5+ years of hands-on enterprise or large-scale infrastructure experience.
• Deep expertise in VMware VCF at scale.
• Strong automation and configuration management skills with Python, PowerShell, vRO or equivalents.
• Experience with data-center-scale automation/configuration tooling (DSC, SCCM, Ansible or Salt).
• Ability to plan zero-downtime upgrades and manage production changes with risk discipline.
• Experience building CI/CD pipelines and automated testing for infra artifacts.
• Demonstrated experience using enterprise-enabled AI capabilities to support infrastructure workflows with validation.

Responsibilities

• Architect virtualization cluster designs across global pools, including software defined compute and storage.
• Automate provisioning, configuration, patching, compliance enforcement, and decommissioning using platform scripting languages and APIs.
• Benchmark compute and storage performance using industry-standard tooling to validate changes and guide capacity decisions.
• Diagnose full-stack issues across compute, storage, networking, clustering, and hypervisor layers using structured troubleshooting methods.
• Evaluate proposed server BOMs for suitability, providing performance-focused feedback on CPU, memory, storage, and network characteristics.
• Harden environments by partnering with security teams to remediate vulnerabilities and enforce platform baselines at scale.
• Document reference architectures, decision records, and operational runbooks to improve repeatability and auditability.
• Mentor engineers through design reviews, code reviews, and technical guidance that raises the bar for platform quality.
• Uses enterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according to sensitivity and security requirements.
• Leads reuse-first adoption of AI-assisted practices across delivery and automation routines to reduce recurring issues, ensuring changes are validated, traceable and auditable, and aligned to resiliency and security expectations.

Skills

Automation and scripting

VMware VCF expertise

Full-stack performance auditing

CI/CD for infra

AI-assisted infrastructure workflows

Education

Formal certification in infrastructure disciplines

Tools

Python

PowerShell

vRO

Ansible

Salt

DSC

SCCM

VMFleet

Diskspd

fio

Qualys

Job description

We're looking for a talented, senior engineering professional ready to take their career to new heights at one of the world's most influential companies.

As a Lead Infrastructure Engineer at JPMorgan Chase within Enterprise Technology, Compute Platform Engineering team, you will engineer enterprise-scale Broadcom VMware VCF infrastructure across global data centers, partnering inclusively across engineering, operations, security, and capacity teams to deliver resilient, performant virtualization services that support tens of thousands of workloads.

Job Responsibilities

• Architect virtualization cluster designs across global pools, including software defined compute and storage
• Automate provisioning, configuration, patching, compliance enforcement, and decommissioning using platform scripting languages and APIs.
• Benchmark compute and storage performance using industry-standard tooling to validate changes and guide capacity decisions.
• Diagnose full-stack issues across compute, storage, networking, clustering, and hypervisor layers using structured troubleshooting methods.
• Evaluate proposed server BOMs for suitability, providing performance-focused feedback on CPU, memory, storage, and network characteristics.
• Harden environments by partnering with security teams to remediate vulnerabilities and enforce platform baselines at scale.
• Document reference architectures, decision records, and operational runbooks to improve repeatability and auditability.
• Mentor engineers through design reviews, code reviews, and technical guidance that raises the bar for platform quality.
• Uses enterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according to sensitivity and security requirements.
• Leads reuse-first adoption of AI-assisted practices across delivery and automation routines to reduce recurring issues, ensuring changes are validated, traceable and auditable, and aligned to resiliency and security expectations.

Required qualifications, capabilities, and skills

• Formal training or certification in infrastructure disciplines, plus 5+ years of relevant hands-on experience in enterprise or large-scale environments.
• Deep expertise in VMware VCF at scale
• Strong skills for automation, operational tooling, and configuration management, including scripting languages such as Python, PowerShell, vRO, or equivalent
• Demonstrated experience performing full-stack performance auditing across compute, storage, networking, and hypervisor layers.
• Proven ability to analyze and optimize storage performance in virtualized environments (throughput, latency, IOPS, queueing).
• Experience with data-center-scale automation/configuration tooling (e.g., DSC, SCCM, Ansible, Salt, or equivalent).
• Ability to plan and deliver production changes with disciplined risk management, including zero-downtime upgrade strategies.
• Experience building or operating CI/CD pipelines and automated testing for infrastructure automation artifacts.
• 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

• Strong server hardware fluency (Intel Xeon, AMD EPYC, NVMe, GPU) and comfort translating workload needs into platform requirements.
• Hands-on experience with advanced virtual networking concepts (VLANs, SDN, teaming/SET, load balancing patterns).
• Experience with Broadcom management tooling in large environments
• Familiarity with vulnerability remediation workflows (e.g., Qualys) and baseline enforcement at scale.
• Practical performance tooling experience (e.g., elbencho, VMFleet, diskspd, fio) for repeatable benchmarking.