Senior Platform Engineer (AWS Focus)

Role Overview : We are looking for a Senior Platform Engineer to design, engineer, and evolution of AWS cloud and hybrid-cloud ecosystems as a reusable enterprise portfolio of product. The role creates secure, cloud-native capabilities that allow AI teams to build, evaluate and operate applications and agents on AWS without recreating infrastructure, integration or operational controls 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

• Platform Infrastructure: Design reusable AWS AI platform services as products, contracts and tenancy patterns for multiple AI products. 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. Build versioned Terraform modules, platform APIs and SDKs with automated validation and release management.
• Runtime: Engineer runtime patterns using EKS, Lambda, containers and asynchronous event processing. Use EventBridge, queues, streams and workflow services to support resilient agent and AI workloads. Experience with Kubernetes, containers, event-driven architecture, platform APIs and SDKs.
• Security: Implement least-privilege IAM, workload identity, secrets management, encryption and private VPC connectivity. Automate security controls, evidence and policy enforcement within delivery pipelines. Design safe service-to-service and cross-account access patterns.
• 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. Provide self-service onboarding, templates, documentation, reference services and supportable paved roads.

Technical Requirements

• Cloud: 5+ years experience in the AWS ecosystem.
• IaC: Expert-level Terraform skills.
• Run time: Deep expertise with Bedrock, EKS, Lambda, EventBridge, API Gateway, IAM, VPC and CloudWatch.
• 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.