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Metro Hyderabad, popular senior cloud role with broad AI, DevOps and frontend requirements increases candidate competition.
Core cloud, IaC, and DevOps skills transferable, but enterprise pharma and genAI experience bias fit.
Strong mandatory AWS, IaC, multi-account, serverless, coding, and leadership experience required.
Lead hands-on design and implementation of complex, AI-enabled cloud-native solutions using AWS with scalable, secure, and automated DevOps/IaC practices.
Manage and grow high-performing Cloud and DevOps engineering teams focusing on innovation, best practices, and continuous delivery of multi-account, multi-region serverless platforms.
Design and deliver reusable cloud platforms and automation tooling with focus on user/admin self-service portals, disaster recovery, cloud networking, and API governance.
Extensive expertise with AWS cloud services including serverless, API Gateway, Lambda, Elastic Beanstalk, CloudFormation at scale, and cloud networking basics.
Strong coding skills with hands-on experience in JavaScript, NodeJS, Python, Bash, and scripting for cloud automation and test suite development.
Demonstrated experience leading and managing high-performing Cloud and DevOps engineering teams.
Work Experience Required: Not explicitly mentioned in the JD
Senior-level cloud engineer experienced in large-scale, multi-account, multi-region AWS serverless architectures with focus on security, scalability, and AI integration.
Proven ability to break down complex projects into MVP deliverables using Agile methodology, with deep knowledge of DevOps, IaC, CI/CD pipelines, and automated build/deployment.
Experienced in working collaboratively across teams to educate and influence cloud and AI best practices, with strong communication and diagramming skills.