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Senior AWS platform role with niche Bedrock and platform specialization yields moderate applicant competition.
Deep AWS and AI-platform control plane expertise reduces cross-industry transferability.
Mandatory deep AWS platform, IaC, security, and operational ownership imply high shortlisting strictness.
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Lead architecture, deployment, and operation of AWS-hosted AI platform services with emphasis on centralized AI capabilities and integrations.
Own and evolve AWS control plane components including API Gateway, Lambda, Amazon Bedrock services, Step Functions, OpenSearch, DynamoDB, and security guardrails.
Drive platform operational excellence: security, compliance, observability, high availability, performance optimization, disaster recovery, cost management, incident response, and on-call support.
Bachelor's or Master's degree in Computer Science, Engineering, or related discipline.
Extensive experience designing and operating large-scale AWS environments with cloud-native architectures and distributed systems.
Experience implementing cloud security, governance, and operational best practices for production workloads with strong ownership.
Work Experience Required: Not explicitly mentioned in the JD.
Senior-level engineer with proven technical leadership and mentoring experience across AWS platform initiatives focused on AI services.
Experienced in collaborating cross-functionally with multiple business units and cloud platform teams to maintain architectural alignment and engineering standards.
Skillful in using Infrastructure-as-Code tools like Terraform and AWS CDK, and managing event-driven, distributed system design patterns for scalable AI platforms.