Server Virtualization Platform Operations Engineer

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve.

This is hard, urgent, selfless work-but it's work worth doing. If you're driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

** Join us in revolutionizing Infrastructure Operations with AI and Automation!*
* The Cloud and Connectivity organization is actively looking for a VMware ESX Platform Operations Engineer to join them. Do you like to solve challenges and have an interest in large scale impact? Would you like the ability to impact global public and private cloud infrastructure operations through AI and Automation, including applying modern AI-powered coding and automation tools to accelerate engineering workflows?

If so, please apply.

** What You'll Be Doing** :

We are seeking multiple Server Virtualization Platform Operations Engineers with experience supporting and managing enterprise VMware ESX-based Infrastructure-as-a-Service (IaaS) capabilities, both on-premises and in Microsoft Azure. The ideal candidate will play a critical role in maintaining system stability, automating operational tasks, and ensuring high availability for critical workloads, including leveraging modern AI automation tools (e.g., Claude Code, Codex, or similar) to improve efficiency and streamline engineering workflows

If you have a solid background in VMware administration, server virtualization, and thrive in multifaceted enterprise environments, this position offers an excellent chance to advance your career. You'll be involved in maintaining critical infrastructure components, supporting multi-datacenter operations, and implementing solutions that improve availability and reliability. This role will work with the most critical infrastructure supporting all Lilly Manufacturing and research sites in multi-datacenter stretch clusters.

Our goal is to improve the availability of infrastructure and reliability through repeatable patterns, new architectural designs, improvements in observability to prevent outages to help increase value across the organization. The role will also provide mentorship and direction to our global Lilly operations SMEs and other platform infrastructure operations SME to deliver the daily operations associated with this area.

** How You'll Succeed*
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** Be Bold**  - You will drive Infrastructure Operations to never have to fix the same problem twice through adoption of AI OPS, Event Driven Automation, and robust Observability.

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** Be Fast**  - You will accelerate initiatives in areas such as:
Infrastructure AI OPS automation, cloud IaaS management, and cloud infrastructure as code to enable critical business projects.

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** Be Proactive**  - You will have groundbreaking chances to transform our operations processes using proactive, predictive, and automated AI & Observability capabilities.

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** Be Your Best**  - You will bring a high learning agility and Infrastructure operations / engineer skills to help us enable the Lilly Technology strategy, identifying tech opportunities, and accelerate our AI OPS journey.

** What You Should Bring*
* + Technical expertise and leadership to turn ideas and concepts into solutions.

+ Linux, Windows, VMware vSphere, Dell SAN storage or Cloud certifications are a bonus, or we are willing to help you develop.

+ Technical leadership supporting enterprise grade infrastructure solutions and leading the deployment at multiple global locations.

+ Strong hands-on experience with automated infrastructure availability and resiliency (VMWare/vSphere/Storage replication) at enterprise scale along with virtualized Windows or Linux OS platforms.

+ Experience leveraging AI-driven automation tools (e.g., Claude Code, Codex, or similar) to streamline engineering…