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Metro location, popular cloud role, and broad skillset requirements increase applicant competition.
Highly specialized cloud, IaC, and AWS platform experience reduces cross-industry transferability.
Many mandatory technical skills, leadership expectations, and platform experience make filters stringent.
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Lead design and implementation of complex cloud-native AI-enabled solutions using AWS, emphasizing serverless, automation, and reusable platforms.
Manage and mentor high-performing Cloud and DevOps teams, promoting ownership and continuous improvement.
Deliver secure, scalable, and test-oriented systems following Agile and DevOps principles, including designing for disaster recovery and multi-account cloud management.
Strong hands-on experience with AWS services beyond EC2 and databases, including serverless (APIGW, Lambda), Step Functions, CloudFormation at scale.
Proficiency in programming and scripting: JavaScript, NodeJS, Python; plus Bash, Ruby, Perl, PowerShell, SSM for automation.
Demonstrated leadership and management experience of high-performing Cloud and DevOps engineering teams.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced Senior Engineer with deep expertise in cloud-native architectures, AI integration, DevOps, Infrastructure as Code, and cloud networking.
Proven ability to deliver large-scale, multi-account, multi-region serverless solutions optimized for end-user simplicity and operational complexity.
Skilled in breaking down complex projects into MVPs and Agile deliverables with strong communication and cross-team collaboration skills.