Sr. AI Cloud Platform Engineer

Senior Platform Engineer (AWS Focus)

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.

Technical Requirements:

• Cloud: 5+ years experience in the AWS ecosystem.
• IaC: Expert-level Terraform skills.
• AI Stack: Direct experience with AWS Bedrock and SageMaker.
• Networking: Expert knowledge of VPC design, Subnetting, Route 53, and Direct Connect.
• APIs: Hands-on experience with AWS API Gateway or Kong.
• Deployment Architecture: Proven ability to create professional Cloud Architecture Diagrams and provide Solutions Architecture guidance.

Note:

Experience with CI/CD (GitHub Actions) and IaC (Terraform) should be considered non-negotiable, while specific AI service experience can be developed on the job if the candidate has a strong foundational understanding of Cloud Architecture.