Senior Lead Software Engineer, Virtualization & Cluster Lifecycle Automation

JPMorgan Chase

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
31 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $199k
$169k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $174,600–$223,750.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer, Virtualization & Cluster Lifecycle Automation

As a Senior Lead Software Engineer - Virtualization & Cluster Lifecycle Automation within the On Premise and Next Generation Infrastructure team, you will join a high-paced agile team to deliver a first-class private cloud offering. You will design, develop, and troubleshoot software for virtualized cluster lifecycle automation, focusing on provisioning, configuration, patching, compliance enforcement, and decommissioning using Platform APIs. Your daily work involves building scalable server-side services using Go, Java, or Python while managing OpenShift and Kubernetes cluster lifecycles in complex distributed environments. You will utilize tools like Temporal for workflow orchestration and integrate AI-assisted engineering practices to improve code quality. The role addresses the technical challenge of providing a consistent user experience across multiple hypervisor platforms including VMware ESXi and KVM, ensuring operational stability through automated remediation and robust system design.

What you'll do

  • Design, develop, and troubleshoot software solutions for virtualized cluster lifecycle automation.
  • Automate provisioning, configuration, patching, compliance enforcement, and decommissioning using Platform APIs.
  • Drive team adoption of AI-assisted engineering practices to improve code quality and delivery speed.
  • Identify and automate the remediation of recurring issues to improve operational stability.
  • Lead production-grade deployments and diagnose complex technical issues using structured troubleshooting methods.
  • Document design decisions to ensure auditability across large-scale infrastructure projects.
  • Mentor engineers through design reviews, code reviews, and technical guidance to elevate engineering standards.

What we're looking for

  • 8+ years of hands-on software engineering experience building and operating production systems.
  • Proficiency in Go, Java, or Python for building scalable server-side services.
  • Strong fundamentals in system design, including API design, data modeling, testing strategy, and operational stability.
  • Experience automating OpenShift/Kubernetes cluster lifecycle and Day-2 operations.
  • Working knowledge of security and compliance expectations, such as authN/authZ and secure SDLC.
  • Experience with workflow orchestration at scale (Temporal strongly favored; similar orchestration acceptable).
  • Familiarity with hypervisor environments like VMware ESXi, OpenShift, or KVM (preferred).
  • Cloud-native experience including containers, CI/CD, observability, and reliability engineering (preferred).

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