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, evaluate and operate applications and agents on AWS without recreating infrastructure, integration or 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 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 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, reference services and supportable paved roads.

• Cloud: 5+ years experience in the AWS ecosystem.
• IaC:
  Expert-level Terraform skills.
• Run time:
  Deep expertise with 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.