Senior Platform Engineer (AWS Focus)

Job Description Roles & 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. Desired Candidate Profile 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. Skills AWS Terraform CI/CD Employment Type Full-time Company Industry RecruitmentPlacement FirmExecutive Search Department / Functional Area Engineering Keywords DevOps LeadCloud Infrastructure LeadSenior Systems Engineer CloudCloudFormationMonitoring & AlertingCloud InfrastructureCloud ArchitectInfrastructure As Code IaC Get real-time job updates only on our App