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Tanqeeb in Abu Dhabi seeks a senior Platform Infrastructure engineer to design and deploy production-grade AWS AI platform services, with tenancy patterns and landing zones for multiple AI products.
You will own IaC with Terraform, run Kubernetes-based runtimes (EKS, Lambda), and manage Bedrock/SageMaker, IAM, VPC, and API connectivity, while driving cost control and monitoring across the stack.
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.
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.
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.
AWS
Terraform
CI/CD