Senior Platform Engineer (AWS Focus)

Role overview

Platform engineering

• Design reusable AWS AI platform services, product contracts, and tenancy patterns for multiple AI products.
• Architect and deploy production-ready AWS environments from scratch using a landing-zone approach.
• Deploy, scale, and manage AWS AI/ML services, including Bedrock, SageMaker, Rekognition, Textract, and Lookout.
• Build versioned Terraform modules, platform APIs, and SDKs with automated validation and release management.
• Engineer runtime patterns using EKS, Lambda, containers, and asynchronous event processing.
• Use EventBridge, queues, streams, and workflow services for resilient AI workloads.

Security, APIs, and operations

• 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 and cross-account access.
• Manage API lifecycles using AWS API Gateway and Kong for secure, performant service communication.
• Analyze cloud costs and SKUs and implement monitoring and alerting to prevent budget overruns.
• Build GitHub Workflows for infrastructure and application CI/CD.
• Provide self-service onboarding, templates, documentation, reference services, and supportable paved roads.

Technical requirements

• At least five years of AWS ecosystem experience and expert-level Terraform skills.
• CI/CD experience with GitHub Actions and IaC experience with Terraform are non-negotiable.
• Technical requirements call for deep expertise with Bedrock, EKS, Lambda, EventBridge, API Gateway, IAM, VPC, and CloudWatch.
• Direct AWS Bedrock and SageMaker experience is listed; the note 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 professional cloud architecture diagrams and provide solutions architecture guidance.
• The description also calls for experience with Kubernetes, containers, event-driven architecture, platform APIs, and SDKs.