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Specialized senior AWS role in metro with mandatory enterprise experience, causing moderate competition.
Strong AWS enterprise and FinOps-specific demands make background fit highly sensitive.
Multiple mandatory enterprise AWS, FinOps, and 8+ years requirements make shortlisting highly strict.
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Own design, security, and optimization of cloud infrastructure managing $1M+/year spend across 100+ AWS accounts with >99.9% uptime.
Develop and maintain automated operational tooling for cost, security, and compliance including proactive scaling and reactive remediation.
Lead research and product initiatives on generative AI applications using Amazon Bedrock and related AI orchestration technologies.
8+ years of experience in cloud operations with strong focus on AWS services and production-grade infrastructure management.
Proven hands-on experience supporting large-scale AWS environments with at least 100 accounts and $100K+ monthly cloud spend.
Experience in AWS cost optimization, FinOps, security, compliance automation, and formal technical/cloud reviews.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Experience working at AWS-certified MSPs or Enterprise Cloud Centers of Excellence supporting multiple teams.
Skilled in integrating and operationalizing AWS-native tools for FinOps/SecOps and proficient in CloudFormation, Python scripting, CloudWatch, and Systems Manager.
Demonstrated leadership in research-driven product roadmap influence, especially around generative AI and emerging cloud technologies.