Advisor - Cloud Engineer — Research Tech@Lilly

Eli Lilly • Boston, MA

110d • $148,500 - $235,400 • Remote

About The Position

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. Are you driven by the pulse of cloud technology and passionate about building scalable, robust platforms that accelerate scientific discovery? The Research Technology Informatics & Platforms team is seeking an outstanding Senior Cloud Engineer — a hands-on technical expert eager to take ownership of sophisticated infrastructure, while cultivating the additional skills needed to become a future leader in our organization.

Requirements

• Advanced proficiency in AWS and Kubernetes, with hands-on experience designing, deploying, and managing cloud infrastructure.
• Experience with Databricks or similar data engineering platforms preferred.
• Strong programming skills in Python with knowledge of automation and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
• Solid understanding of networking, security, and distributed systems in cloud environments.
• Excellent communication and collaboration skills, with the ability to work effectively across multidisciplinary teams.
• Demonstrated ability to lead initiatives and mentor others, with a clear vision for future growth into people leadership roles.
• Continuous learning attitude, with passion for exploring new technologies and driving innovation.

Responsibilities

• Design, develop, and maintain cloud-based solutions supporting high-performance computing, data analytics, and scientific workflows.
• Lead the implementation of scalable architectures on AWS using Kubernetes for container orchestration, ensuring high reliability, security, and performance.
• Build and optimize pipelines using Databricks for large-scale data processing and machine learning.
• Automate infrastructure deployment and monitoring using modern DevOps practices and infrastructure-as-code tools.
• Solve sophisticated technical issues across cloud platforms and collaborate with researchers and data scientists to deliver seamless solutions.
• Partner with cross-functional teams to translate scientific requirements into scalable technical architectures.
• Contribute to the development of standard methodologies and mentor junior engineers, fostering a culture of innovation and continuous improvement.

Benefits

• Eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Chemical Manufacturing
• Education Level: Bachelor's degree