Senior Platform Engineer; AWS Focus); m​/f​/d

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,evaluateandoperateapplications and agents on AWS without recreating infrastructure,integrationor operational controls for a large Fin Tech 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 Fin Ops best practices.

• 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, Sage Maker, 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 Event Bridge , queues,streams and workflow services to support resilientagentand AI workloads.
  
  Experience with Kubernetes, containers, event-driven architecture, platformAPIsand 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 life cycles using AWS API Gateway and Kong, ensuring secure and performant communication between services.
• Fin Ops & Monitoring
  :
  Proactively manage cloud costs by analyzing SKUs and implementing advanced monitoring/alerting to prevent budget overruns.
• Deployment Automation
  :
  Design automated Git Hub Workflows to enable seamless CI/CD for both infrastructure and application code. Provide self-service onboarding, templates, documentation, referenceservicesand supportable paved roads.

• Cloud
  : 5+ years experience in the AWS ecosystem.
• IaC
  :
  Expert-level Terraform skills.
• Run time
  :
  Deepexpertisewith Bedrock, EKS, Lambda,Event Bridge, API Gateway, IAM, VPC and Cloud Watch.
• AI Stack
  :
  Direct experience with AWS Bedrock and Sage Maker.
• 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.