Advisor - Cloud Engineer — Research Tech@Lilly

Candidates must possess a Bachelor's degree in Computer Science or a related field, with over 5 years of relevant experience in cloud engineering, infrastructure, or DevOps roles supporting data-intensive scientific or business environments. Advanced proficiency in AWS and Kubernetes is required, along with hands-on experience designing, deploying, and managing cloud infrastructure. Experience with Databricks or similar data engineering platforms is preferred. Strong programming skills in Python, knowledge of automation and infrastructure-as-code tools like Terraform or CloudFormation, and a solid understanding of cloud networking, security, and distributed systems are essential. Excellent communication and collaboration skills are necessary, as is a demonstrated ability to lead initiatives and mentor others, with a clear vision for future growth into people leadership roles. A continuous learning attitude and passion for exploring new technologies are also important.