Linux Platform Operations Engineer
Listed on 2026-07-06
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IT/Tech
Unix/Linux, SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, Systems Engineer
Overview
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. Headquartered in Indianapolis, Indiana, our 50,000+ employees take on complex challenges to discover and deliver life-changing medicines, strengthen health understanding and management, and support the communities we serve. This is hard, urgent, selfless work—and 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.
Come help us unlock the power of Infrastructure Operations through AI & Automation. The Cloud and Connectivity organization is actively looking for a Linux Platform Operations Engineer to join them. Do you like solving challenges and have an interest in large-scale impact? If so, please apply.
What You’ll Be Doing:
Linux & Open Shift Platform Operations Engineer with experience supporting and managing enterprise Linux and Open Shift environments. Maintain system stability, automate operational tasks, and ensure high availability for mission-critical workloads, including leveraging modern AI-driven automation tools to improve efficiency and streamline engineering workflows. This role requires in-depth technical expertise, teamwork, and a proactive approach to problem-solving and operational excellence.
This role will provide opportunities to work with the latest Public and Private cloud IaaS services. The goal is to improve infrastructure availability and reliability through repeatable patterns, new architectural designs, and improved observability to prevent outages and increase value, including adoption of AI-powered automation and tooling. The role will partner with Lilly operations SMEs and connect with other platform infrastructure operations SMEs to deliver daily operations in this area.
HowYou’ll Succeed
- Be Bold:
Drive Infrastructure Operations to never have to fix the same problem twice through AI OPS, Event Driven Automation, and robust Observability. - Be Fast:
Accelerate initiatives in areas such as Infrastructure AI OPS automation, cloud IaaS management, and cloud infrastructure as code to enable critical business projects. - Be Proactive:
Transform operations processes using proactive, predictive, and automated AI & Observability capabilities. - Be Your Best:
Bring high learning agility and Infrastructure Operations/engineer skills to enable Lilly Technology strategy, identify tech opportunities, and accelerate our AI OPS journey.
- Linux Server & Open Shift Management
:
Manage and support Red Hat Enterprise Linux (RHEL), Ubuntu, and SUSE Linux Enterprise Server (SLES). Experience with Open Shift, Kubernetes, and containerized platforms. Handle VMware vSphere, Linux-based VMs, and physical servers (HP, DELL, IBM). Configure and maintain Linux network services (DNS, DHCP, VLANs, firewalls, TCP/IP). Demonstrated leadership to turn ideas into operational solutions. Linux, Dell SAN storage or Cloud certifications are a bonus, or willingness to develop. - Automation & Scripting
:
Develop and manage Ansible playbooks for automation of configurations and deployments. Write Bash/Python scripts for system management and automation. Use Ansible Tower/AWX for centralized automation. Leverage AI-driven automation tools to enhance scripting efficiency, accelerate development, and streamline workflows. - Incident & Change Management
:
Follow ITIL-based incident, problem, and change management processes using Service Now. Manage incident resolution and root cause analysis for critical server issues. Oversee change management processes, ensuring minimal impact to production environments. - Technical Leadership
:
Support enterprise-grade infrastructure solutions and lead deployments at multiple global locations. Hands-on troubleshooting and Linux system administration with automated infrastructure availability and resiliency at enterprise scale, including exposure to modern AI/ML-driven operational frameworks. - Delivery
:
Consistent track record of high-quality, agile-focused, team-based solution delivery.
- Onsite role located in…
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