What are the responsibilities and job description for the Generative AI – Cloud DevOps Engineer position at Karkidi?
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 39,000 employees 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 globe.
Please read the following job description thoroughly to ensure you are the right fit for this role before applying.
The individual in this role will be responsible for creating, scheduling, orchestrating, and managing cloud infrastructure services. They should actively look for opportunities to reuse existing processes and services to enhance the efficiency of support and implementation for key systems. Embracing and promoting a DevOps culture is essential, and they should integrate it into daily organizational activities.
Competency Summary
Cloud DevOps Engineer will be responsible for the delivery of projects from the DevOps roadmap. This includes configuring and maintaining CI / CD pipelines to support automated testing and deployments, creating AWS CloudFormation Templates for quick and reliable provisioning of services. They should be able to manage and provision serverless services on AWS.
Creating Azure Bicep or ARM Templates for development of resources through CI / CD. They should be able to manage and provision serverless services on Azure. One should be good with Github actions as well which is primarily used for building the deployment workflows.
Cloud engineers work closely with Platform Architects and Data Scientists. They also work with business and IT groups beyond the application sphere, understanding the enterprise infrastructure and the many source systems. They should be able to provide guidance into the DevOps toolchain, lifecycle, improvement, and standardization strategies.
Key Objectives / Deliverables
- Extensive Azure Experience in AI Search, Logic Apps, Function Apps, API Management, Access Control with RBACs and Networking concepts in Azure environment.
- Experience operating and managing search and analytics engines like Elasticsearch, Logstash, Kibana, and OpenSearch.
- Identify and address performance bottlenecks, optimize code, and ensure the scalability of search solutions.
- Work on various aspects of information retrieval, including indexing, querying, and relevance ranking.
- Integrate search solutions with various data sources and databases.
- Design and implement APIs for accessing search functionalities.
- Be responsible for all instance provisioning, monitoring usage and reporting.
- Identify, troubleshoot, debug, and resolve technical issues.
- Position appropriate technical solutions within the enterprise, streamlining our portfolio of modern tools to align with the company’s IT strategy, ecosystem and bring in industry standards and methodologies.
- Work in Agile Sprints with business facing project teams.
Minimum Position Qualifications
Education Requirements
Bachelor’s or master’s Degree or relevant degree.
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