Clinical Cloud DevOps Engineer

Job Title:

Clinical Cloud DevOps Engineer

Job Function:

u00A0Information Technology

Location:

Bangalore

Experience Level

4-8 years

Education:

Bacheloru2019s Degree (or equivalent work experience)

Job Summary

Lilly Research Labs serves a strategic function as it caters to the development of most medicines requiring about a billion dollars and a decade or more to bring to market. At Lilly, weu2019re investing to make it faster, better and cheaper, to the benefit of patients... and the Information and Digital Solutions organization is a critical partner in reaching success. Broad trends in science and healthcare are driving integration across LRL, Research, Manufacturing, and global Business Units. New digital capabilities in the broader business model, both internally and externally, will require agile and creative evolution of the processes and digital solutions that support clinical and product development.u00A0u00A0

We are seeking a highly experienced Cloud DevOps Engineer to join our team. The successful candidate will work collaboratively with cross-functional teams to build and deploy cloud-based solutions that meet business requirements.

As a Cloud DevOps Engineeru00A0 you will design, implement and maintain cloud-based infrastructure and deployment pipelines. You will collaborate with development teams to ensure that applications are designed with scalability and reliability in mind. We are looking for highly motivated and proactive individuals who can stay up-to-date with emerging trends and technologies in cloud computing and DevOps.

Key Responsibilities:

• Cloud Infrastructure Management: Design, implement, and manage scalable, resilient cloud infrastructure using providers like AWS, Azure, or Google Cloud.
• Automation & Scripting: Develop infrastructure-as-code (IaC) scripts using tools like Terraform, AWS CloudFormation, or Azure Resource Manager to automate provisioning, configuration, and scaling of cloud services.
• CI/CD Pipeline Development: Build and maintain continuous integration and continuous deployment (CI/CD) pipelines using tools such as Jenkins, GitLab CI, or CircleCI to streamline software development and release processes.
• Monitoring & Performance: Set up monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, CloudWatch, Datadog) to ensure uptime, performance, and troubleshooting capabilities of cloud infrastructure.
• Security & Compliance: Implement security best practices (IAM, firewalls, encryption) and compliance measures to protect data and cloud resources.
• Collaboration: Work closely with development, QA, and operations teams to optimize workflow, reduce friction in software development, and support operational objectives.
• Cost Optimization: Analyze and optimize cloud resource usage and costs, ensuring efficiency without compromising performance.
• Disaster Recovery & Backups: Design and implement disaster recovery strategies, including backup and restore plans for critical cloud infrastructure.

Technical Skills:

• 4+ years overall development/technical support experience in preferably AWS and/or exposure to Azure, GCP.

• Cloud Infrastructure & Automation:u00A0Design, implement, and manage scalable infrastructure on AWS and Azure, utilizing services like AWS S3, RDS, Lambda, API Gateway, Event Bridge, and Azure Storage Accounts, Key Vault, and Kubernetes Service (AKS).
• CI/CD & DevOps Pipelines:u00A0Develop and maintain CI/CD pipelines using GitHub Actions, Azure DevOps, and AWS CodePipeline, automating deployments for applications and microservices. Experience with CI/CD tools like Jenkins, Packer, Chef, Puppet
• Infrastructure-as-Code (IaC):u00A0Deploy and manage AWS CloudFormation/Terraform and/or Azure resources with Bicep files for efficient infrastructure provisioning.
• Security & Compliance:u00A0Implement security practices using AWS KMS, Azure Key Vault and ensure compliance with AWS IAM & Azure Policy managing governance and identity management.
• Data & Machine Learning:u00A0Work with cloud-native solutions like AWS Sagemaker, Azure Machine Learning and manage data pipelines, ensuring seamless integration with storage and compute services for AI/ML workloads.

• Scripting Languages: Strong scripting skills (e.g., Python, Bash, PowerShell) for automating tasks.
• Containers & Orchestration: Experience with Docker and Kubernetes for containerization and orchestration.
• Version Control: Expertise in Git for version control and collaboration.

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 () 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.

Lillyu00A0does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

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