Senior Platform Engineer (AWS Focus)
Role Overview
Design and evolve reusable AWS cloud and hybrid-cloud capabilities for AI teams at a large FinTech enterprise.
Create secure cloud-native services that let teams build, evaluate, and operate applications and agents without rebuilding infrastructure or controls.
Support AI service operations, security, and cloud spend optimization through FinOps practices.
Key Skills for This Role
Full Job Posting
Role overview
Design and evolve reusable AWS cloud and hybrid-cloud capabilities for AI teams at a large FinTech enterprise.
Create secure cloud-native services that let teams build, evaluate, and operate applications and agents without rebuilding infrastructure or controls.
Support AI service operations, security, and cloud spend optimization through FinOps practices.
Platform and AI services
- Design reusable AWS AI platform services, products, contracts, and tenancy patterns; deploy production-ready landing-zone environments.
- Deploy, scale, and manage Bedrock, SageMaker, Rekognition, Textract, and Lookout services.
- Standardize deployments with Terraform modules, platform APIs, SDKs, automated validation, and release management.
- Build runtime patterns with EKS, Lambda, containers, and asynchronous event processing for resilient AI workloads.
Security, APIs, and operations
- Implement least-privilege IAM, workload identity, secrets management, encryption, private VPC connectivity, and automated security enforcement.
- Design secure service-to-service and cross-account access patterns.
- Manage API lifecycles with AWS API Gateway and Kong.
- Analyze cloud costs and implement monitoring and alerting to prevent budget overruns.
- Automate infrastructure and application CI/CD with GitHub Workflows and provide self-service onboarding, templates, documentation, reference services, and paved roads.
Technical requirements
- At least 5 years of AWS ecosystem experience and expert-level Terraform skills.
- CI/CD with GitHub Actions and Terraform-based IaC are non-negotiable.
- Deep expertise with Bedrock, EKS, Lambda, EventBridge, API Gateway, IAM, VPC, and CloudWatch is listed.
- Direct Bedrock and SageMaker experience is listed, though the description says specific AI service experience can be developed on the job with strong cloud architecture foundations.
- Expert knowledge of VPC design, subnetting, Route 53, and Direct Connect.
- Hands-on experience with AWS API Gateway or Kong.
- Ability to create cloud architecture diagrams and provide solutions architecture guidance.
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