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Lilly

LillyDirect Pharmacy DevOps Engineer

Indianapolis, IN, United States

$66,000 - $189,200

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Job details

Pay: $66,000 - $189,200
Experience: 4+ years of hands-on experience in DevOps , cloud engineering, or platform engineering.
Posting language: English
Posted: Nov 6, 2026

Original job description

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.

At Lilly, we unite caring with discovery to make life better for people around the world. As a DevOps Engineer on the LillyDirect Pharmacy Covered Entity Master Data team, you will own CI/CD pipelines, infrastructure as code, platform security, and the monitoring and operations that keeps our AWS, Databricks, Reltio, and Transcend integrations reliable. You will work with data engineers, the technical lead, and platform teams across Tech@Lilly. Your work helps ensure the right data, used with the right consent, reaches patients and the business.

What You'll Be Doing

Pipelines and automation

Design, build, and maintain CI/CD pipelines for data workloads using GitHub Actions or similar tools, with automated testing, security scanning, and approvals.
Monitor, troubleshoot, optimize pipelines, and resolve failures quickly.
Manage build artifacts and packages through Lilly's approved repositories (JFrog Artifactory).
Automate promotion of Databricks jobs, notebooks, and configuration across environments.

Infrastructure and platform

Develop and maintain infrastructure as code (Terraform, CloudFormation, or CDK) for AWS and Databricks environments, so they are repeatable and reviewed.
Manage AWS services used by the platform (for example S3, Glue, Lambda, Step Functions, IAM, KMS, VPC, CloudWatch) with a focus on security and cost, including least-privilege IAM roles and encryption of sensitive data.
Support Databricks workspace operations, including cluster policies, Unity Catalog access, and cost governance.
Support secure, automated integrations with Reltio and Transcend, including secrets, access, and environment configuration.

Reliability and operations

Build monitoring, logging, and alerting for pipeline health, data quality checks, and platform SLAs.
Support production releases, incident response, root cause analysis, and document runbooks.
Embed compliance controls (access, audit trails, change management through ServiceNow change and incident processes) so releases meet regulatory and privacy requirements.
Partner with the technical lead, data engineers, and architecture and security teams to improve developer productivity and release quality.

How You Will Succeed

You collaborate with data engineers, architects, and security partners to turn release needs into reliable automation.
You automate repeatable work and fix root causes, not symptoms.
You build controls for privacy, consent, and compliance into pipelines from the start.
You communicate clearly with technical and non-technical stakeholders and raise risks early.
You keep learning as our cloud and platform adoption grows.

Basic Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
4+ years of hands-on experience in DevOps , cloud engineering, or platform engineering.

Additional Skills and Preferences

Hands-on experience building and maintaining CI/CD pipelines ( GitHub Actions or similar), including artifact management with Artifactory or similar tools.
Infrastructure-as-code experience with Terraform, CloudFormation, or CDK.
Strong working knowledge of AWS services and security (for example S3, IAM, VPC, Lambda, CloudWatch ), with willingness to build skills in Azure as adoption grows.
Scripting or programming skills in Python and shell, plus experience with Git and version control workflows.
Experience with monitoring, logging, and alerting production workloads.
Familiarity with data platforms and pipelines, such as Databricks , Spark , or AWS Glue .
Understanding of secrets management, access control, and change management in regulated or security-sensitive environments, including environments that handle sensitive data such as PII or PHI.
Ability to troubleshoot complex issues and communicate clearly with technical and non-technical partners.
Experience with Databricks DevOps , including Unity Catalog, workflows, and cluster policies, and the Databricks Terraform provider or Asset Bundles.
Experience integrating with master data or consent platforms such as Reltio or Transcend .
Experience with ITSM tools such as ServiceNow for incident and change management.
Experience with Kubernetes, Helm, or container-based deployments.
Pharmaceutical, healthcare, or other regulated industry experience, including privacy requirements such as HIPAA.
Experience with observability tools such as CloudWatch, Grafana, or Datadog .
AWS certification, preferably AWS Certified DevOps Engineer, or Databricks certification.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. 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.

Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women’s Initiative for Leading at Lilly (WILL).

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is

$66,000 - $189,200

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including 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).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

#WeAreLilly

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More about this job

Skills

CI/CD
Infrastructure as code
AWS
Databricks
GitHub
Test automation
Troubleshoot
JFrog Artifactory
IBM Terraform
Identity and access management
Unity
Statistical quality control
Incident response
Root cause analysis
Computer science
DevOps
Python
Git
Apache Spark
Change management
IT service management
ServiceNow
Kubernetes
Grafana
Datadog
AWS certification
Leadership

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