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Tier-1 brand, metro location, and broad cloud/AI leadership role attract many qualified applicants.
Core cloud, DevOps and AI skills transfer across industries, though pharma/regulatory context moderately increases specificity.
Many mandatory senior cloud, IaC, AI, and leadership skills required, creating strict technical filters.
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Lead design and implementation of complex AI-enabled, cloud-native solutions on AWS, including serverless and managed cloud services.
Manage and mentor Cloud and DevOps engineering teams, fostering ownership, innovation, and continuous improvement.
Develop reusable Infrastructure-as-Code components and deliver scalable, secure multi-account, multi-region cloud platforms with focus on end-user simplicity and operational excellence.
Strong experience with AWS services beyond core compute and database (e.g., Step Functions, API Gateway, Lambda, Elastic Beanstalk).
Hands-on skills in scripting and coding with Python, JavaScript/NodeJS, and cloud automation tools; experience with CloudFormation at scale.
Experience leading high-performing Cloud and DevOps engineering teams and managing multi-account cloud environments.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced senior engineer with deep expertise in cloud native architecture, AI integration, DevOps, and automation, especially on AWS.
Strong coding ability and practical experience with serverless design, infrastructure as code, and cloud networking troubleshooting.
Capable of breaking down complex projects into Agile deliverables and influencing multiple teams through reusable and scalable cloud solutions.