Senior Platform Engineer (AWS Focus) (m/f/d)

Halian | Managed Services, Recruitment Agency & Contract Staffing; Abu Dhabi; On-site; AED 240,000 - 480,000; Full time

Job summary

Senior Platform Engineer (AWS Focus) in Abu Dhabi, United Arab Emirates, seeks to design, engineer and evolve AWS cloud and hybrid-cloud ecosystems as a reusable enterprise portfolio of products. You will enable AI teams to build, evaluate and operate applications with secure, scalable infrastructure and optimized cloud spend.

Responsibilities include deploying production-ready AWS environments, managing Bedrock and SageMaker services, implementing Terraform-based IaC, and enforcing strict

Qualifications

• Experience designing reusable AWS-based AI platforms.
• Strong Terraform IaC and automation experience.
• Security-focused IAM and encryption practices.
• Ability to optimize cloud spend with FinOps.
• Proven experience with Kubernetes-based runtimes.

Responsibilities

• Design reusable AWS AI platform services and tenancy patterns.
• Deploy and manage AWS AI/ML services including Bedrock and SageMaker.
• Implement IaC with Terraform and modular release management.
• Engineer runtime with EKS, Lambda, containers and event-driven patterns.
• Enforce security controls and private connectivity in pipelines.
• Develop CI/CD pipelines with GitHub workflows for infra and apps.

Skills

Cloud architecture

Terraform

Kubernetes

AWS

FinOps

Tools

Bedrock

SageMaker

Terraform

API Gateway

Kong

EKS

Lambda

VPC

Job description

Role Overview

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 FinTech 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 FinOps best practices.

Key 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.

Technical Requirements

• 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.

Senior Platform Engineer (AWS Focus) in Abu Dhabi, United Arab Emirates