Sr. AI Cloud Platform Engineer
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About the Role
Design and scale AWS cloud ecosystems, operationalize AI services, manage infrastructure as code, and optimize cloud costs with expert-level skills in Terraform and AI stack.
Key Skills for This Role
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Overview
- Role Overview
- : We are looking for a Senior Platform Engineer to design, build, and scale AWS cloud and hybrid-cloud ecosystems from the ground up for a large FinTech Enterprise.
- You will be responsible for creating a robust foundation for our application teams, with a specific focus on operationalizing AI services, maintaining rigorous security standards, and optimizing cloud spend through FinOps best practices.
Key Responsibilities
- Greenfield Infrastructure
- : Architect and deploy production-ready AWS environments from scratch using a landing zone approach.
- AI Orchestration
- : Deploy, scale, and manage AWS AI/ML services (Bedrock, SageMaker, Rekognition, Textract, Lookout) to support AI-driven application development.
- Infrastructure as Code
- : Standardize all deployments using Terraform to ensure consistency and modularity.
• API & Connectivity
: Manage API lifecycles using AWS API Gateway and Kong, ensuring secure and performant communication between services.
• FinOps & Monitoring
- : Proactively manage cloud costs by analyzing SKUs and implementing advanced monitoring/alerting to prevent budget overruns.
- Deployment Automation
- : Design automated GitHub Workflows to enable seamless CI/CD for both infrastructure and application code.
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