Senior Lead Software Engineer, Java with VMware and Automation

JPMorgan Chase

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
Plano, TX
Posted
23 days ago
Freshness
Confirmed live 2 days ago

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How this pay compares to similar roles

Similar $197k
$168k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $174,050–$220,800.

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, Java with VMware and Automation

As a Sr Lead Software Engineer - Java with VMware and Automation within the Corporate Sector-Infrastructure Platforms team, you will drive technical solutions for virtualized cluster lifecycle automation. You will design, develop, and troubleshoot automated provisioning, configuration, patching, and decommissioning using Platform APIs while leading production-grade deployments in large-scale infrastructure projects. Your daily work involves integrating enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed while ensuring secure coding standards. You will build scalable server-side services using Go, Java, or Python and manage automated workflows in distributed environments using tools like Temporal for orchestration. The role requires expertise in OpenShift or Kubernetes cluster lifecycle management, VMware ESXi, KVM, and cloud-native technologies. You will mentor engineers through design reviews while solving complex problems related to virtualization automation and infrastructure stability.

What you'll do

  • Design and develop software solutions for virtualized cluster lifecycle automation.
  • Automate provisioning, configuration, patching, and decommissioning using Platform APIs.
  • Drive team adoption of enterprise-authorized 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.
  • Mentor engineers through design reviews, code reviews, and technical guidance to elevate engineering standards.
  • Document design decisions to ensure auditability across large-scale infrastructure projects.

What we're looking for

  • Formal training or certification in software engineering concepts and 5+ years of applied experience.
  • Proficiency in Go, Java, or Python for building scalable server-side services.
  • Demonstrated experience leading the use of enterprise-authorized AI-assisted development tools and coaching others on compliant usage patterns.
  • Strong fundamentals in system design including API design, data modeling, testing strategy, and operational stability.
  • Solid understanding of virtualization automation regarding VM lifecycle and resource concepts like CPU, memory, storage, and networking.
  • Hands-on experience automating OpenShift or Kubernetes cluster lifecycle and Day-2 operations.
  • Experience developing automated workflows in complex distributed environments with strong troubleshooting skills.
  • Experience with workflow orchestration at scale (Temporal preferred).

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