Generative AI – Cloud DevOps Engineer Location
lilly
Job Description
Key Objectives/Deliverables
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Extensive Azure Experience in AI Search, Logic Apps, Function Apps, API Management, Access Control with RBACs and Networking concepts etc in Azure environment.
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Experience operating and managing search and analytics engines like Elasticsearch, Logstash, Kibana, and OpenSearch
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Identify and address performance bottlenecks, optimize code, and ensure the scalability of search solutions.
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Work on various aspects of information retrieval, including indexing, querying, and relevance ranking.
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Integrate search solutions with various data sources and databases.
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Design and implement APIs for accessing search functionalities.
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Be responsible for all instance provisioning, monitoring usage and reporting.
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Identify, troubleshoot, debug, and resolve technical issues.
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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.
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Work in Agile Sprints with business facing project teams.
Minimum Position Qualifications
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5-8 year’s hands-on experience with Azure services, Azure Bicep, CI/CD with Github Actions, Azure DevOps, databases and related technologies.
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Strong Hands-on experience in built/deploy of end-to-end project.
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Advanced administration experience with Azure Blob Storage, Cosmos Db and SQL Servers and provisioned on Virtual Machines instances.
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Experience in provisioning and maintaining Ai Search
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Oversees and provides technical direction in design, install, configure, maintain, troubleshoot, test, monitor, and analyze the performance of the Azure Services
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Provide detailed usage, storage, and system performance to management.
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Must possess strong verbal and written communication