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

Showcify, Inc.; Abu Dhabi; On-site; AED 350,000 - 550,000; Full time

Job summary

Showcify, Inc. seeks a Senior Platform Engineer to design and evolve AWS cloud and hybrid-cloud ecosystems as reusable enterprise products.

The role focuses on secure, cloud-native capabilities enabling AI teams to build and operate AI-enabled applications on AWS without recreating infrastructure, while maintaining strong security and FinOps practices. You will architect production-ready AWS environments using landing zones, deploy AI/ML services, standardize deployments with Terraform, and

Qualifications

• 5+ years experience in AWS ecosystem.
• Expert-level Terraform skills.
• Deepexpertise with Bedrock, SageMaker, EKS, Lambda, EventBridge, API Gateway, IAM, VPC and CloudWatch.
• Expert knowledge of VPC design, Subnetting, Route 53, and Direct Connect.
• Hands-on experience with API Gateway or Kong.
• Proven ability to create professional Cloud Architecture Diagrams and provide Solutions Architecture guidance.

Responsibilities

• Design reusable AWS AI platform services as products and tenancy patterns.
• Deploy, scale, and manage AWS AI/ML services (Bedrock, SageMaker, Rekognition, Textract, Lookout).
• Standardize deployments using Terraform with versioned modules and SDKs.
• Engineer runtime patterns with EKS, Lambda, containers and asynchronous processing.
• Implement least-privilege IAM and private VPC connectivity; automate security controls.
• Manage API lifecycles using AWS API Gateway and Kong for secure communication.
• Proactively manage cloud costs and monitor to prevent budget overruns.
• Design automated GitHub Workflows to enable CI/CD for infra and app code.

Skills

Cloud architecture

Security best practices

FinOps

CI/CD

Cost optimization

Leadership

Tools

Terraform

Kubernetes

AWS API Gateway

Kong

EKS

Lambda

CloudWatch

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,evaluateandoperateapplications and agents on AWS without recreating infrastructure,integrationor 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,contractsand 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,containersand asynchronous event processing.UseEventBridge, queues,streamsand workflow services to support resilientagentand AI workloads.Experience with Kubernetes, containers, event-driven architecture, platformAPIsand SDKs.
• Security: Implement least-privilege IAM, workload identity,secretsmanagement, 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, referenceservicesand supportable paved roads.

Technical Requirements

• Cloud: 5+ years experience in the AWS ecosystem.
• IaC: Expert-level Terraform skills.
• Run time: Deepexpertisewith 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.