Digital Platform Engineer

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Job Description

About the Technology Organization:  

Technology at Lilly builds and maintains capabilities using cutting edge technologies like most prominent tech companies. What differentiates Technology at Lilly is that we create new possibilities through tech to advance our purpose – creating medicines that make life better for people around the world, like data driven drug discovery and connected clinical trials. We hire the best technology professionals from a variety of backgrounds, so they can bring an assortment of knowledge, skills, and diverse thinking to deliver innovative solutions in every area of the enterprise.  

 

About the Business Function: 

From molecule to market, Global Manufacturing plays an important role in every step along a product’s lifecycle. Most of our customers never see the scientific and technical resources behind our medicines. But customers experience, every day, the performance of our high-quality products and global supply network.  

Global Manufacturing comprises a core group of functions that contribute to the production and supply of high-quality products: Engineering; Manufacturing Information & Control Systems; Quality & Labs, Technology Services/Manufacturing Science; Global Health, Safety and Environment; and Global Supply Chain. 

Key Responsibilities

IoT Platform Excellence:

• Develop and maintain IoT ecosystems ensuring uptime, and scalable evolution to support manufacturing growth
• Developing and implement comprehensive IoT solutions including edge device management
• Deployment of end-to-end IoT platforms from proof-of-concept through production validation and ongoing lifecycle management
  
  
  

Cloud-Native Application Development

• Docker & Containers – Building, running, and managing containers & images
• Establish and enforce containerization best practices, automated CI/CD pipelines, and infrastructure-as-code principles for rapid, reliable deployments
• Partner with cross-functional teams to enable IoT application integration, automated testing, and continuous delivery workflows
  
  
  

Data Streaming & Integration

• Implementing data ingestion pipelines using Apache Kafka, MQTT brokers, and Azure Event Hub to process manufacturing telemetry
• Ensure seamless OT/IT integration through secure, compliant data bridges that maintains manufacturing system integrity
• Develop real-time analytics solutions that transform OT data streams into actionable insights for production optimization and predictive maintenance.
  
  
  

Knowledge Sharing, Training & Documentation

• Maintain detailed runbooks, architecture diagrams, deployment documentation, and SOPs.
  
  
  

Education Requirements

• Bachelors in Computer Science/IT, or Engineering (or equivalent work experience)
• 4 - 8 year of experience
  
  
  

Skills/requirements

• Manufacturing experience with deep knowledge of manufacturing execution systems.
• Experience with at least one cloud platform (Azure, AWS, GCP)
• Hands-on experience with OpenShift/Kubernetes including container orchestration
• Experience in Programming/scripting skills, Git, CI/CD pipelines
• Proven track record of development & implementing IoT solutions in regulated environments with understanding data integrity, and audit trail requirements
• Troubleshooting, Debugging & resolving containerized apps, basic monitoring & logging
• Good to have experience in bridging OT/IT systems while maintaining network segmentation and industrial cybersecurity best practices
• Good to have knowledge on Apache Kafka ecosystem, stream processing frameworks, and real-time data pipeline optimization for high-volume manufacturing data
• Good to have understanding of DevSecOps practices, infrastructure automation, and monitoring solutions for production environments
• Good to have Pharmaceutical Manufacturing experience and Good to have GxP knowledge
  
  
  

Travel may be required to other Manufacturing sites in US and/or Europe

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

#WeAreLilly

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