368,910open jobs
9,449companies
47,822added this week
Browse all
Salary
$151k – $308k per year (Estimated)
Location
In office (San Francisco)
Seniority
Staff · 5+ years exp
Overview
Company
Impact
Profile match
JPMorgan Chase & Co. is a leading global financial services firm and the largest banking institution in the United States by assets. Headquartered in New York City, the company offers a comprehensive range of financial solutions, including investment banking, asset management, treasury services, and commercial banking. Through its widely recognized consumer division, Chase, it delivers retail banking, credit card, and mortgage services to tens of millions of households across the globe.

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 Senior Lead Infrastructure Engineering at JPMorgan Chase within Enterprise Technology, Compute Platform Engineering team, you will engineer enterprise-scale Microsoft Hyper-V 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 Hyper-V cluster designs across global pools, including WSFC, live migration, S2D, and vSwitch/SET topologies.
  • Automate provisioning, configuration, patching, compliance enforcement, and decommissioning using PowerShell, DSC, and platform APIs.
  • Develop and enhance a custom C#/.NET 8 workload management platform to scale operational workflows and orchestration.
  • 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 Hyper-V 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 Microsoft Hyper-V at scale, including WSFC, live migration, S2D, and virtual networking (vSwitch/SET).
  • Strong PowerShell skills for automation, operational tooling, and configuration management.
  • 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, or equivalent).
  • Ability to plan and deliver production changes with disciplined risk management, including zero-downtime upgrade strategies.
  • Working proficiency in C#/.NET (or equivalent) to maintain and extend automation/orchestration services.
  • 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

  • Experience operating dual-hypervisor environments (e.g., VMware ESXi and/or KVM in addition to Hyper-V).
  • 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 Microsoft System Center tooling (e.g., VMM, SCOM, SCCM) 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.

FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
368,910 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
San Francisco
$105k – $252k per year • Remote • Full-Time • 18+ years exp • Bachelor's Degree
Python
Java
Java
Gradle
DevOps
Ansible
AWS
CI/CD
CloudFormation
Configuration Management
Docker
GitHub Actions
GitLab CI
Helm
Jenkins
Kubernetes
Platform Engineering
Terraform
GitHub
GitLab
Cybersecurity
Sonatype Nexus IQ
Management
Confluence
Jira
Apply
In office • Part-Time • 2+ years exp • Bachelor's Degree • Ness Ziona
C#
Java
AI/ML
Copilot
Cursor
DevOps
CI/CD
GitHub
Apply
$133k – $161k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • Westminster
C++
Python
DevOps
CI/CD
SpaceTech
NASA cFS
Apply
$113k – $136k per year • In office • Full-Time • 2+ years exp • Bachelor's Degree • Westminster
C
C
U-Boot
DevOps
CI/CD
Apply
$90k – $176k per year (Estimated) • In office • Full-Time • 2+ years exp • Bachelor's Degree • Austin
C++
C
C
U-Boot
DevOps
CI/CD
Apply
$23k – $99k per year (Estimated) • In office • Mumbai
JavaScript
Python
SQL
TypeScript
Python
FastAPI
Databases
Databricks
SQLite
AI/ML
Spark
Frontend
React.js
DevOps
CI/CD
Git
Rest API
Cybersecurity
Least Privilege
Analytics
ETL/ELT
QA
Swagger
Apply
$137k – $297k per year (Estimated) • In office • Jersey City
Apply
$134k – $291k per year (Estimated) • In office • Plano
Java
Python
DevOps
AWS
CI/CD
Terraform
Amazon S3
API Gateway
Web3
Ethereum
Apply
$165k – $352k per year (Estimated) • In office • Plano
DevOps
CI/CD
Cybersecurity
Threat Modeling
Apply
$157k – $313k per year (Estimated) • In office • Bachelor's Degree • Jersey City
Python
SQL
AI/ML
AI Agents
Analytics
Tableau
Apply
$130k – $500k per year • Equity • In office • Full-Time • 5+ years exp • San Francisco
AI/ML
AI Agents
Claude
Claude Code
Copilot
Cursor
Function Calling
Human-in-the-Loop
LLM Guardrails
DevOps
GitHub
Apply
$89k – $193k per year (Estimated) • In office • Full-Time • 3+ years exp • High School Diploma • San Francisco
Apply
$190k – $270k per year • Remote/Hybrid • Full-Time • 7+ years exp • San Francisco
SQL
AI/ML
LLM
Recommender Systems
Analytics
A/B Testing
Marketing
Salesforce
Apply
$170k – $220k per year • Equity 1–2.8% • In office • Full-Time • 3+ years exp • San Francisco
Python
SQL
Python
Django
AI/ML
AI Agents
Context Engineering
LLM
LLM Evaluation
RAG
Apply
$170k – $230k per year • Equity • In office • Full-Time • 5+ years exp • Bachelor's Degree • New York • San Francisco
Go
Java
Kotlin
Python
Scala
Databases
Apache Kafka
Databricks
Delta Lake
Snowflake
AI/ML
Dagster
dbt
Flink
Spark
Knowledge Graph
Apply
See all jobs
This is one of many
368,910 more open roles from verified company boards, updated every day.