Research Informatics Platform Engineer

Lilly•Indianapolis, IN

7d•$132,000 - $244,200•Hybrid

About The Position

As a Lilly Research Informatics Platform Engineer, you will build cutting edge AI & Informatics tools with a team of passionate engineers to accelerate & enhance 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 assist 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.

Requirements

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 requirements.
Bachelor's degree in Computer Science, Information Technology, Software Engineering
Minimum 4 years of experience in architecture and software engineering

Nice To Haves

Master's degree in Computer Science, Information Technology, Software Engineering
Proven track record of delivering complex, cross-functional IT solutions.

Responsibilities

Design, architect and develop robust, scalable and secure software solutions with a hands-on approach.
Collaborate within a team of engineers, using 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.

Benefits

company bonus (depending, in part, on company and individual performance)
company-sponsored 401(k)
pension
vacation benefits
medical benefits
dental benefits
vision benefits
prescription drug benefits
flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
life insurance
death benefits
certain time off and leave of absence benefits
well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)