Senior Lead Software Engineer - Virtualization & Cluster Lifecycle Automation

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible As a Senior Lead Software Engineer at JPMorganChase within the On Premise and Next Generation Infrastructure team, you will be a seasoned member of a small, high-paced agile team spanning global locations. You will play a pivotal role in delivering a first-class private cloud offering, focusing on enabling multiple hypervisor platforms and striving for a consistent end user experience across both on premise and public cloud environments. You will not only be a software engineer, but also an innovator, leveraging AI tooling and continuous improvement practices to drive quality and efficiency. Your deep knowledge of software engineering, experience with DevOps and SRE principles, and passion for new technologies will help shape the future of our infrastructure solutions.

Execute creative software solutions, design, development, and technical troubleshooting for virtualized cluster lifecycle automation. Automate provisioning, configuration, patching, compliance enforcement, and decommissioning using Platform APIs Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability Lead production-grade deployments, own technical solutions, diagnose issues using structure troubleshooting methods. Work with large-scale infrastructure projects Document design decisions to enhance auditability. Mentor engineers through design reviews, code reviews, and technical guidance that elevates engineering standards. Collaborate, influence, and partner with peers across global teams. Required qualifications, capabilities, and skills 8+ years hands-on software engineering experience building and operating production systems (or equivalent depth of experience). Strong fundamentals in system design: API design, data modeling, testing strategy, and operational stability. Proficiency in Go, Java, or Python building scalable server-side services. Experience in System Design and Data Modeling. Solid understanding of virtualization automation (VM lifecycle and resource concepts: CPU, memory, storage, networking). Hands-on experience automating OpenShift/Kubernetes cluster lifecycle and Day-2 operations (upgrades, configuration management, policy/compliance alignment). Experience developing and maintaining automated workflows in complex distributed environments; strong troubleshooting skills. Working knowledge of security and compliance expectations (authN/authZ, secrets handling, data integrity, secure SDLC). Experience with workflow orchestration at scale (Temporal strongly favored; similar orchestration acceptable). Strong communication skills and ability to influence peers across global teams. Preferred qualifications, capabilities, and skills Hands-on experience with virtualization automation (VM lifecycle and resource concepts: CPU, memory, storage, networking). Demonstrated track record mentoring engineers and raising engineering standards. Familiarity with hypervisor environments (VMware ESXi, OpenShift, KVM). Cloud-native experience (containers, CI/CD, observability, reliability engineering). Passion for innovation, AI, and continuous improvement.