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Well-known company with senior cloud-manager title and broad cloud/AI skillset driving medium competition.
Technical cloud and AI skills transfer broadly, but pharma/regulatory context moderately increases sensitivity.
Multiple mandatory cloud, IaC, AI, coding and leadership requirements create high shortlisting strictness.
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Lead design and implementation of complex cloud-native AI-enabled solutions using AWS, focusing on automation and user experience simplification.
Manage and mentor high-performing Cloud and DevOps engineering teams, promoting innovation, ownership, and secure scalable AI usage.
Drive reusable infrastructure as code components and multi-account, multi-region serverless solutions adhering to AWS Well-Architected Framework.
Strong expertise in AWS cloud services beyond basic components, including serverless, managed services, and cloud networking.
Hands-on experience with cloud-native coding and scripting (Python, NodeJS, JavaScript) and automation with CI/CD pipelines and source code control.
Demonstrated leadership experience managing Cloud and DevOps engineering teams with Agile and test-oriented development approach.
Work Experience Required: Not explicitly mentioned in the JD.
Deep technical skills in AWS serverless, Step Functions, API Gateway, CloudFormation at scale, and cloud networking for troubleshooting and design.
Experienced in designing complex systems broken into MVPs and Agile deliverables with end-user simplicity and disaster recovery.
Hands-on experience with AI SDKs, genAI, prompt engineering, REST/GraphQL APIs, React front-end, and strong scripting including Python, Bash, PowerShell.