📍 Job Overview

Job Title: Associate Director - AWS Cloud Engineering
Company: Eli Lilly and Company
Location: Indianapolis, Indiana, United States
Job Type: Full-Time, Hybrid (Minimum 3 days in the office)
Category: DevOps, Cloud Infrastructure
Date Posted: 2025-08-01
Experience Level: 5-10 years
Remote Status: On-site (Hybrid)

🚀 Role Summary

📝 Enhancement Note: This role involves leading a global AWS Cloud Engineering team to drive cloud transformation at scale, focusing on improving foundational cloud capabilities and enabling critical use-cases for Lilly.
Lead a team to continuously improve cloud services through AI and automation.
Accelerate initiatives by developing infrastructure as code patterns and automated end-to-end processes.
Transform foundational and operations processes using proactive, predictive, and automated AI & observability capabilities.
Enable the Lilly Technology strategy by identifying tech opportunities and accelerating the cloud, AI, and automation journey.

💻 Primary Responsibilities

📝 Enhancement Note: The following responsibilities are tailored to the AWS Cloud Engineering role, focusing on cloud services, architecture, and management.
Lead a high-performing, geographically distributed team to deliver business-impacting results and ensure individual growth through coaching, development, and career planning.
Drive cloud platform proficiency, including expertise in AWS cloud capabilities, services, architecture, and best practices for deployment, scaling, and management.
Develop and manage AI/ML models in a cloud environment, integrating AI/ML frameworks and tools.
Ensure cloud security principles, compliance standards, and best practices for securing cloud environments.
Implement DevOps practices and CI/CD pipelines to streamline development and deployment processes.
Analyze complex technical issues, develop effective solutions, and optimize cloud infrastructure.
Lead enterprise-grade infrastructure solutions and deployments at multiple global locations.
Oversee, manage, and optimize AWS cloud financials.

🎓 Skills & Qualifications

Education: Bachelor’s degree in computer science, information technology, or a related technical field.

Experience: 5+ years of experience in AWS cloud infrastructure management, with a demonstrated history of leading and managing operations of a global large-scale infrastructure service.

Required Skills:

People management and team leadership
Cloud platform proficiency (AWS)
Automation and scripting (Python, Bash, Ansible, Terraform, CloudFormation)
AI/ML integration and deployment
Cloud security and compliance
DevOps practices and CI/CD pipelines
Problem-solving and analytical skills
Technical leadership and cloud financial management

Preferred Skills:

Experience with infrastructure as code (IaC) tools
Familiarity with cloud financial management tools and processes
Knowledge of cloud migration strategies and best practices

📊 Web Portfolio & Project Requirements

📝 Enhancement Note: While a portfolio is not explicitly mentioned, demonstrating relevant cloud engineering projects, AI/ML models, and infrastructure management case studies would be beneficial for this role.

Portfolio Essentials:

Documented cloud engineering projects showcasing AWS services, architecture, and best practices.
AI/ML models deployed and managed in a cloud environment, with clear documentation and explanations.
Infrastructure management case studies demonstrating problem-solving, optimization, and security implementations.

Technical Documentation:

Detailed project documentation, including architecture diagrams, deployment processes, and server configurations.
Version control, deployment processes, and server configuration management strategies.
Testing methodologies, performance metrics, and optimization techniques.

💵 Compensation & Benefits

Salary Range: The anticipated wage for this position is $124,500 - $182,600 per year.

Benefits:

401(k) and pension plans
Vacation benefits
Medical, dental, vision, and prescription drug benefits
Flexible benefits (healthcare and dependent day care flexible spending accounts)
Life insurance and death benefits
Time off and leave of absence benefits
Well-being benefits (employee assistance program, fitness benefits, and employee clubs and activities)

Working Hours: Full-time, with expected US business hours and after-hours support needs for evenings and weekends, when necessary. Less than 10% travel.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare, with a focus on pharmaceuticals and biotechnology.

Company Size: Large (over 50,000 employees), with a global presence and a significant impact on the healthcare industry.

Founded: 1876, with a rich history and a strong commitment to improving lives through innovative medicines and therapies.

Team Structure:

The Cloud Engineering organization is part of the broader Lilly Technology team, working collaboratively to drive digital transformation and innovation.
The AWS Cloud Engineering team consists of cloud engineers, architects, and specialists focused on AWS cloud services and infrastructure management.
The team works closely with various stakeholders, including business units, IT teams, and other technology teams, to ensure the reliability, performance, and continuous improvement of cloud services.

Development Methodology:

Agile methodologies, with a focus on continuous improvement, collaboration, and iterative development.
Infrastructure as code (IaC) practices, using tools like Terraform and CloudFormation for automated deployment and management.
CI/CD pipelines for streamlined development and deployment processes.
Regular code reviews, testing, and quality assurance practices to ensure high-quality cloud services.

Company Website: www.lilly.com

📝 Enhancement Note: Eli Lilly and Company is a global healthcare leader with a strong commitment to improving lives through innovative medicines and therapies. The company values diversity, inclusion, and collaboration, fostering a culture of continuous learning and improvement.

📈 Career & Growth Analysis

Web Technology Career Level: This role is a senior-level position, focusing on strategic leadership, team management, and technical expertise in AWS cloud infrastructure management.

Reporting Structure: The Associate Director reports directly to the Director of Cloud Engineering, working closely with other technology leaders and stakeholders to drive cloud transformation and innovation.

Technical Impact: This role has a significant impact on global public cloud services, driving AI and automation initiatives, and enabling critical use-cases for Lilly. The successful candidate will play a crucial role in shaping the company's cloud strategy and driving digital transformation.

Growth Opportunities:

Technical Growth: Expand expertise in AWS cloud services, AI/ML, and infrastructure management, with opportunities to lead larger-scale projects and teams.
Leadership Development: Develop leadership skills through team management, strategic decision-making, and cross-functional collaboration.
Architecture and Design: Gain experience in designing and implementing enterprise-grade cloud infrastructure solutions.

📝 Enhancement Note: This role offers significant growth opportunities, both technically and in leadership, for the right candidate looking to make a substantial impact on a global scale.

🌐 Work Environment

Office Type: Hybrid, with a minimum of 3 days in the office per week.

Office Location(s): Indianapolis, Indiana, United States

Workspace Context:

The Indianapolis office is located in the US Corporate Center, with a modern, collaborative workspace designed to facilitate team interaction and innovation.
The office features multiple monitors, testing devices, and development tools to support cloud engineering projects and AI/ML model development.
The work environment encourages cross-functional collaboration with designers, marketers, and other technology teams to ensure user-centric design and optimal performance.

Work Schedule: Full-time, with expected US business hours and after-hours support needs for evenings and weekends, when necessary. Less than 10% travel.

📝 Enhancement Note: The hybrid work environment at Eli Lilly and Company fosters collaboration, innovation, and work-life balance, with a strong focus on employee well-being and growth.

📄 Application & Technical Interview Process

Interview Process:

Online Assessment: A technical assessment focusing on AWS cloud services, architecture, and best practices.
Phone Screen: A brief call to discuss the role, company, and technical fit.
On-site Interview: A full-day on-site interview, including technical deep dives, architecture discussions, and cultural fit assessments. This may include:
- Technical presentations and case studies
- Architecture and design discussions
- Problem-solving exercises and coding challenges
- Behavioral and situational interview questions
Final Review: A final review with key stakeholders to make a hiring decision.

Portfolio Review Tips:

Highlight relevant cloud engineering projects, AI/ML models, and infrastructure management case studies.
Demonstrate a strong understanding of AWS cloud services, architecture, and best practices.
Showcase problem-solving skills, performance optimization, and scalable architecture design.

Technical Challenge Preparation:

Brush up on AWS cloud services, architecture, and best practices.
Prepare for architecture discussions, system design, and problem-solving exercises.
Familiarize yourself with the latest AI/ML frameworks and tools, and be ready to discuss their integration into cloud environments.

ATS Keywords: [AWS, Cloud Engineering, Infrastructure Management, AI/ML, Architecture, Leadership, DevOps, Agile, CI/CD, Hybrid Work, Indianapolis, Eli Lilly and Company]

📝 Enhancement Note: The interview process for this role is comprehensive and tailored to assess the candidate's technical expertise, leadership skills, and cultural fit within the Eli Lilly and Company organization.

🛠 Technology Stack & Web Infrastructure

Cloud Platform: AWS (Amazon Web Services)

Infrastructure as Code (IaC) Tools:

Terraform
CloudFormation

Automation and Scripting Tools:

Python
Bash
Ansible

AI/ML Frameworks and Tools:

TensorFlow
PyTorch
AWS SageMaker
AWS Machine Learning

Monitoring and Logging Tools:

AWS CloudWatch
Prometheus
ELK Stack (Elasticsearch, Logstash, Kibana)

CI/CD Pipelines:

Jenkins
AWS CodePipeline
AWS CodeBuild

Containerization and Orchestration:

Docker
Kubernetes

📝 Enhancement Note: The technology stack for this role is tailored to AWS cloud services and infrastructure management, with a focus on AI/ML integration, automation, and observability.

👥 Team Culture & Values

Web Development Values:

Innovation: Drive continuous improvement and innovation through AI and automation.
Collaboration: Work closely with various teams and stakeholders to ensure the reliability, performance, and continuous improvement of cloud services.
User-Centric Design: Ensure cloud services meet the needs of Lilly's global user base, with a focus on accessibility, performance, and scalability.
Quality and Security: Maintain high-quality cloud services with a strong focus on security, compliance, and best practices.

Collaboration Style:

Cross-Functional Integration: Work closely with business units, IT teams, and other technology teams to ensure cloud services meet the needs of Lilly's global user base.
Code Review Culture: Regular code reviews, testing, and quality assurance practices to ensure high-quality cloud services.
Knowledge Sharing: Foster a culture of continuous learning and improvement, with regular training, workshops, and knowledge-sharing sessions.

📝 Enhancement Note: Eli Lilly and Company fosters a collaborative, innovative, and user-centric culture, with a strong focus on continuous learning and improvement.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Scalability: Design and implement scalable cloud infrastructure solutions to support Lilly's global user base.
Performance Optimization: Optimize cloud services for performance, with a focus on AI and automation initiatives.
Security and Compliance: Ensure cloud services meet the highest security and compliance standards, with a strong focus on data protection and regulatory compliance.
Emerging Technologies: Stay up-to-date with the latest AWS cloud services, AI/ML frameworks, and infrastructure management best practices.

Learning & Development Opportunities:

AWS Certification: Pursue AWS certification (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer) to enhance technical expertise and credibility.
AI/ML Specialization: Develop specialized knowledge in AI/ML frameworks, tools, and deployment strategies for cloud environments.
Leadership Development: Participate in leadership development programs to enhance team management, strategic decision-making, and cross-functional collaboration skills.

📝 Enhancement Note: This role presents significant technical challenges and growth opportunities, with a strong focus on driving cloud transformation, AI and automation initiatives, and user-centric design.

💡 Interview Preparation

Technical Questions:

AWS Cloud Services: Demonstrate a deep understanding of AWS cloud services, architecture, and best practices.
AI/ML Integration: Discuss AI/ML frameworks, tools, and deployment strategies for cloud environments.
Infrastructure Management: Explain infrastructure as code (IaC) practices, automation, and observability capabilities.
Security and Compliance: Address cloud security principles, compliance standards, and best practices for securing cloud environments.

Company & Culture Questions:

Cloud Transformation: Discuss your approach to driving cloud transformation at scale, with a focus on AI and automation initiatives.
User-Centric Design: Explain how you ensure cloud services meet the needs of Lilly's global user base, with a focus on accessibility, performance, and scalability.
Collaboration: Describe your experience working with cross-functional teams and stakeholders to ensure cloud services meet user needs.
Innovation: Share your ideas for driving continuous improvement and innovation through AI and automation.

Portfolio Presentation Strategy:

Cloud Engineering Projects: Highlight relevant cloud engineering projects, with a focus on AWS cloud services, architecture, and best practices.
AI/ML Models: Showcase AI/ML models deployed and managed in a cloud environment, with clear documentation and explanations.
Infrastructure Management Case Studies: Demonstrate problem-solving, optimization, and security implementations in infrastructure management projects.

📌 Application Steps

To apply for this Associate Director - AWS Cloud Engineering position at Eli Lilly and Company:

Customize Your Resume: Tailor your resume to highlight relevant cloud engineering, AI/ML, and infrastructure management experience, with a focus on AWS cloud services and architecture.
Prepare Your Portfolio: Curate a portfolio showcasing relevant cloud engineering projects, AI/ML models, and infrastructure management case studies, with a focus on AWS cloud services, architecture, and best practices.
Research the Company: Familiarize yourself with Eli Lilly and Company's mission, values, and culture, with a focus on the Cloud Engineering organization and the broader Lilly Technology team.
Prepare for Technical Interviews: Brush up on AWS cloud services, architecture, and best practices, with a focus on AI/ML integration, infrastructure management, and security and compliance.
Submit Your Application: Apply through the application link provided, following the instructions and guidelines outlined in the job listing.

📝 Enhancement Note: The application process for this role is comprehensive and tailored to assess the candidate's technical expertise, leadership skills, and cultural fit within the Eli Lilly and Company organization.

Associate Director - AWS Cloud Engineering