Senior Platform Engineer – AWS Focus

D4Insight; Abu Dhabi; On-site; AED 300,000 - 450,000; Full time

Job summary

D4Insight is seeking a Senior Platform Engineer to design and evolve AWS cloud and hybrid-cloud ecosystems, creating reusable enterprise platform services for AI workloads on AWS.

You will build secure, scalable infrastructure with Terraform, deploy EKS/Lambda, manage API lifecycles with AWS API Gateway and Kong, and implement CI/CD through GitHub Actions while optimizing cloud costs and enforcing security controls.

Qualifications

• 5+ years in AWS-focused platform engineering.
• Experience with EKS, Lambda, and VPC design.
• Strong knowledge of IAM and security controls.
• Proficiency in Terraform and CI/CD tooling.
• Experience with FinOps and cost optimization.

Responsibilities

• Design reusable AWS AI platform services, products, contracts, and tenancy patterns.
• Architect and deploy production-ready AWS environments using a landing-zone approach.
• Deploy, scale, and manage AWS AI/ML services including Bedrock, SageMaker, Rekognition, Textract, Lookout.
• Build versioned Terraform modules, platform APIs, SDKs, automated validation, and release management.
• Engineer runtime patterns using EKS, Lambda, Containers, EventBridge, Queues, Streams, and Workflow services.
• Implement least-privilege IAM, secrets management, encryption, and private VPC connectivity.

Skills

Cloud architecture

AWS

Security

FinOps

CI/CD

Tools

Terraform

GitHub Actions

Kong

Amazon Bedrock

SageMaker

API Gateway

Job description

Role Overview:

We are looking for Senior Platform Engineer to design, engineer, and evolve AWS cloud and hybrid-cloud ecosystems as a reusable enterprise portfolio of products.

The role focuses on creating secure, cloud-native capabilities that enable AI teams to build, evaluate, and operate applications and agents on AWS without recreating infrastructure, integration, or operational controls. The position also emphasizes AI service operationalization, security, and FinOps-driven cloud cost optimization.

Key Responsibilities:

• Design reusable AWS AI platform services, products, contracts, and tenancy patterns.
• Architect and deploy production-ready AWS environments using a landing-zone approach.
• Deploy, scale, and manage AWS AI/ML services including:
  • Amazon Bedrock
  • SageMaker
  • Rekognition
  • Textract
  • Lookout

Infrastructure & Automation

• Build versioned Terraform modules, platform APIs, SDKs, automated validation, and release management.
• Engineer runtime patterns using:
  • EKS
  • Lambda
  • Containers
  • EventBridge
  • Queues
  • Streams
  • Workflow services

Security & API Management

• Implement least-privilege IAM, workload identity, secrets management, encryption, and private VPC connectivity.
• Automate security controls, evidence, and policy enforcement within delivery pipelines.
• Design secure service-to-service and cross-account access patterns.
• Manage API lifecycles using AWS API Gateway and Kong.

CI/CD & FinOps

• Design automated GitHub Workflows for infrastructure and application CI/CD.
• Provide self-service onboarding, templates, documentation, reference services, and paved-road engineering patterns.
• Analyze cloud SKUs and implement monitoring and alerting to prevent budget overruns.

Required Skills & Experience:

• 5+ years of experience in the AWS ecosystem.
• Deep expertise in:
  • Amazon Bedrock
  • EKS
  • Lambda
  • EventBridge
  • API Gateway
  • IAM
  • VPC
  • CloudWatch
• Direct experience with AWS Bedrock and SageMaker.
• Expert knowledge of VPC design, subnetting, Route 53, and Direct Connect.
• Hands-on experience with AWS API Gateway or Kong.
• Strong Cloud Architecture and Solution Architecture capabilities.
• Experience with GitHub Actions and Terraform.

We craft, deploy, and manage bespoke services in CRM, data and AI, cybersecurity and consulting.