Software Engineer- Full Stack

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.

We Are Lilly

At Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world. How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people. We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe!

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 is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

• Develop, test, and deploy components into provisioned cloud platform environments through automated Continuous Integration and Deployment (CI/CD) processes.
• Review and implement technical designs, translating them into APIs, user interfaces, libraries, and services across a range of programming languages while adhering to Lilly's architecture, design, implementation, and security standards.
• Use AI coding tools to accelerate design exploration, implementation, testing, and debugging, while owning the correctness, security, and maintainability of everything you ship.
• Build and integrate AI capabilities into products, such as LLM-powered features and agent tools, where they improve patient and user outcomes.
• Build working knowledge of medical device delivery models and quality systems, including GxP expectations, to ensure solutions align with regulatory requirements and timelines.
• Integrate open source and licensed components into larger solutions, making practical reuse decisions and ensuring dependencies are sourced through approved enterprise channels (e.g., Artifactory) and meet security and licensing requirements.
• Investigate and propose solutions to development and design problems through open collaboration and healthy debate, including scope estimation and forecasting.
• Collaborate effectively with product managers, designers, engineers, stakeholders, and vendors within the team and across Lilly.
• Establish strong relationships with technical leaders and architects to influence technology direction for Software Product Engineering platforms and products.
• Practice effective source control, code review, and collaborative programming to drive high-quality outcomes.
• Partner with data professionals to implement database and data warehousing solutions.
• Complete projects with minimal supervision and direction.

• Develop, test, and deploy components into provisioned cloud platform environments through automated Continuous Integration and Deployment (CI/CD) processes.
• Review and implement technical designs, translating them into APIs, user interfaces, libraries, and services across a range of programming languages while adhering to Lilly's architecture, design, implementation, and security standards.
• Use AI coding tools to accelerate design exploration, implementation, testing, and debugging, while owning the correctness, security, and maintainability of everything you ship.
• Build and integrate AI capabilities into products, such as LLM-powered features and agent tools, where they improve patient and user outcomes.
• Build working knowledge of medical device delivery models and quality systems, including GxP expectations, to ensure solutions align with regulatory requirements and timelines.
• Integrate open source and licensed components into larger solutions, making practical reuse decisions and ensuring dependencies are sourced through approved enterprise channels (e.g.,…