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Strong Tier-1 brand, broad mid-senior cloud skillset, and likely metro location increase applicant competition.
Strong cloud and IaC emphasis is transferable, but pharma/regulatory familiarity moderately matters.
Many mandatory senior cloud, IaC, genAI, language, and leadership requirements raise strictness.
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Design and deliver complex cloud-native AI and data engineering solutions using AWS, focusing on automation, serverless services, and reusable platforms.
Lead hands-on implementation and management of AI-enabled cloud platforms, ensuring responsible, secure, and scalable use of AI technologies.
Manage, mentor, and grow high-performing Cloud and DevOps teams while driving Agile, DevOps, and test-oriented system design and delivery.
Strong expertise in AWS cloud services including serverless, API governance, basic networking, CloudFormation, and multi-account/multi-region architecture.
Proficient in coding with JavaScript, NodeJS, Python (APIGW/Lambda, Elastic Beanstalk), along with experience in scripting languages like Bash, Ruby, Perl, PowerShell.
Proven leadership experience managing Cloud and DevOps engineering teams and projects, with hands-on experience in AI SDKs, genAI, prompt engineering, and multiple LLM models.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced senior developer with deep knowledge of cloud-native architectures and scalable AWS solutions handling all Well-Architected Framework considerations.
Operator who can translate complex technical requirements into MVPs within Agile project frameworks and design disaster recovery and automation at scale.
Strong communicator capable of working across multiple teams to educate and influence cloud and AI best practices, improving system simplicity and reducing total cost of ownership.