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Strong employer brand, Hyderabad metro, senior cloud role with broad in-demand skills yields high competition.
Core cloud, IaC and DevOps skills transfer across industries, but pharma/regulatory context requires moderate specialization.
Extensive mandatory AWS, IaC, genAI, leadership, and fullstack requirements imply high shortlisting strictness.
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Lead hands-on development and implementation of AI-enabled cloud-native solutions using AWS and cloud services focused on automation and user experience simplification.
Design and deliver complex, multi-account, multi-region serverless AWS platforms addressing security, disaster recovery, and scalability using Infrastructure as Code and automation.
Manage and mentor high-performing Cloud and DevOps engineering teams while guiding cloud and AI best practices across teams and projects.
Strong expertise in AWS cloud services beyond basic compute and database, including serverless technologies, CloudFormation, and cloud networking.
Proficient in coding with JavaScript, NodeJS, Python, and scripting languages relevant to cloud infrastructure (Python, Bash, Ruby, Perl, PowerShell).
Experience with AI SDKs, generative AI concepts, prompt engineering, multiple LLM models, and REST API/GraphQL design.
Work Experience Required: Not explicitly mentioned in the JD
Experienced senior engineer with a proven track record in designing and delivering cloud-native, AI-enabled automation solutions at scale.
Ability to break down complex projects into MVPs and use Agile delivery methods for incremental releases.
Leader with strong communication skills capable of mentoring teams, influencing multiple streams, and educating cross-functional teams on cloud and AI technologies.