Senior Platform Engineer (AWS Focus)

TalentRecruit Software Private Limited; Abu Dhabi; On-site; AED 180,000 - 240,000; Part time

Job summary

TalentRecruit Software Private Limited is seeking a Senior Platform Engineer to design and evolve AWS cloud and hybrid-cloud ecosystems for a large FinTech enterprise. The role focuses on building secure, scalable, cloud-native capabilities to enable AI teams while optimizing costs and maintaining strong security controls.

You will architect reusable platform services, deploy production environments, and implement automation with Terraform, EKS, Lambda, and API gateways.

Qualifications

• 5+ years of AWS experience.
• Strong Terraform and IaC implementation experience.
• Hands-on with Kubernetes, EKS, and container runtimes.

Responsibilities

• Design reusable AWS AI platform services and tenancy patterns.
• Deploy and manage AWS AI/ML services (Bedrock, SageMaker).
• Standardize deployments using Terraform with modular, versioned modules.
• Engineer runtime patterns with EKS, Lambda, containers and event-driven architecture.
• Enforce least-privilege IAM, secrets management, and private connectivity.
• Manage API lifecycles using AWS API Gateway and Kong.
• Implement FinOps by monitoring SKUs and cloud spend.
• Create automated CI/CD workflows (GitHub Actions) for infra and apps.

Skills

AWS

Terraform

Kubernetes

CI/CD

FinOps

Tools

GitHub Actions

Kong

API Gateway

CloudWatch

Job description

Job Location Abu Dhabi (Work From Office)

Job Type Contract

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.
• 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.