Linux & OpenShift Platform Engineer, AI-Driven Ops

Eli Lilly and Company; Indianapolis (IN); On-site; USD 120,000 - 160,000; Full time

Job summary

Eli Lilly and Company is seeking a Linux Platform Operations Engineer to support enterprise Linux, OpenShift, and containerized workloads at scale. The role focuses on stability, automation, high availability, and AI-powered tooling to optimize engineering workflows.

Based in Indianapolis, IN, the position requires evaluating and implementing AI-driven automation, collaborating with global platforms teams, and leading operational improvements across multiple locations.

Qualifications

• Bachelor's degree in computer science, IT, or related field.
• 5+ years as a Linux OS/Platform Engineer in enterprise environments.
• Experience with cloud IaaS platforms (AWS/Azure/GCP) and architecture.
• Exposure to AI-enabled automation tools and scalable automation.
• Experience leading a global, large-scale infrastructure project.

Responsibilities

• Maintain stability of enterprise Linux and OpenShift environments.
• Automate operational tasks and improve observability for high availability.
• Collaborate with global platform teams and SMEs across locations.
• Leverage AI-driven automation to streamline workflows and tooling.
• Lead change and incident management with ITIL-based processes.

Skills

Linux OS

OpenShift

Kubernetes

Ansible

Bash scripting

Python scripting

ServiceNow ITIL

VMware Vsphere

RHEL

Ubuntu

SLES

AWS

Azure

GCP

AI automation tools

Education

Bachelor's degree

Tools

Ansible Tower/AWX

Splunk

Red Hat Satellite

GPFS

OpenShift

Job description

Eli Lilly and Company is seeking a Linux Platform Operations Engineer to support enterprise Linux, OpenShift, and containerized workloads at scale. The role focuses on stability, automation, high availability, and AI-powered tooling to optimize engineering workflows.

Based in Indianapolis, IN, the position requires evaluating and implementing AI-driven automation, collaborating with global platforms teams, and leading operational improvements across multiple locations.