Research Informatics Platform 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. As a Lilly Research Informatics Platform Engineer , you will build cutting edg e AI & Informatics tools with a team of passionate engineers to accelerate & enhanc e Lilly’s drug discovery process. You will be hands-on designing architecture, deploying scalable services/integrations, and developing novel software to harness the power of ML & computational tooling to assis t researchers in their day-to-day work. You will collaborate closely with partners from Lilly Research Labs, AI, Software Engineering, and industry leading partners outside Lilly to accelerate medicine discovery for Lilly. How You'll Succeed Design , architect and develop robust, scalable and secure software solutions with a hands-on approach. Collaborate within a team of engineers, us ing best practices in software development such as design review, code reviews, testing, and continuous integration/continuous deployment (CI/CD). Build and maintain microservices architectures and APIs, ensuring seamless interoperability and data flow across platforms. Implement containerization solutions, particularly using Kubernetes, to support deployment and scaling needs. Collaborate with diverse technical teams, including R&D, Data Science, IT Operations, and AI/ML teams, to translate business

requirements into technical solutions. Ensure optimal system performance, reliability, and security through proactive monitoring , automated testing, and continuous improvement. Troubleshoot complex technical issues in a complex microservice architecture, collaborating across teams to identify , resolve, and build future mitigation strategies . Monitor and track operational metrics Ensure robust integration of AI/ML models into production environments, focusing on scalability, performance, and reliability. What You Should Bring Go, Rust, Java, C++ or other OOP Experience with scripting languages such as Python/ Javascript Worked with Containers, Serverless, Kubernetes and other hosting targets Understanding of HTTP and restful based APIs . Experience applying test driven development methodologies to catch bugs early & prevent feature reversion. Experience using CI tools to automatically test & CD tools to automatically deploy code updates. Experience applying systems engineering concepts to distributed systems with high throughput & availability

Basic

Qualifications Bachelor's degree in Computer Science , Information Technology, Software Engineering Minimum 4 years of experience in architecture and software engineering ​ Preferences Master's degree in Computer Science , Information Technology, Software Engineering Proven track record of delivering complex, cross-functional IT solutions. ​ Location & Work Flexibility This role is based at our Corporate Center in Indianapolis. We offer a flexible hybrid work model, with three days onsite and two days working remotely each week , supporting both collaboration and work‑life balance. Remote employees will be considered for those not based near Indianapolis, IN.