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Location
In office (Abu Dhabi)
Seniority
Architect · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Headquartered in Abu Dhabi, United Arab Emirates, Dr. Job is an AI-powered job board and recruitment platform serving job seekers and employers across the Middle East and global markets. The platform integrates intelligent candidate-job matching with a suite of AI career tools, including automated application submissions, bilingual (English/Arabic) resume builders, interview practice simulations, and salary benchmarking.

We are seeking a highly skilled and experienced AWS Solutions Architect with a strong background in enterprise architecture preferably within the banking or large-scale enterprise domain. The ideal candidate will be responsible for designing and delivering end-to-end cloud solutions on AWS with a particular focus on data platforms and machine learning workloads.

This role goes beyond DevOps or infrastructure implementation; it requires a strategic thinker capable of architecting scalable secure and high-performance cloud solutions aligned with enterprise needs.

  • Design and implement end-to-end AWS cloud architectures for enterprise applications data platforms and machine learning workloads
  • Work closely with business and technical stakeholders to translate requirements into scalable cloud solutions
  • Architect data pipelines ML workflows and analytics solutions on AWS
  • Define and implement best practices for cloud architecture security scalability and cost optimization
  • Design and manage CI/CD pipelines using tools like GitHub Actions or similar
  • Develop and maintain Infrastructure as Code (IaC) using Terraform
  • Architect and oversee containerized deployments using Kubernetes / Amazon EKS
  • Establish robust observability monitoring logging and rollback strategies
  • Provide technical leadership and guidance to engineering teams
  • Clearly communicate architectural decisions trade-offs and recommendations to stakeholders
  • Requirements

  • 67 years of experience in cloud architecture and enterprise solution design
  • Strong hands-on experience with AWS services (EC2 S3 Lambda RDS EKS SageMaker etc.)
  • Proven experience designing solutions for enterprise-scale workloads
  • Experience supporting machine learning and data workloads on AWS
  • Strong expertise in Infrastructure as Code preferably Terraform
  • Experience in CI/CD pipeline design and implementation (GitHub Actions or equivalent)
  • Hands-on experience with Kubernetes and Amazon EKS
  • Strong understanding of cloud-native architectures and microservices
  • Solid knowledge of monitoring observability and system resiliency
  • Excellent communication and stakeholder management skills
  • BenefitsHealth Insurance

    Gratuity

    Visa

    Flight to UAE

    Accomodation for initial 1 week

    Annual Return Ticket

    Annual Increment

    Required Skills:

    Mandatory Skills 5 years of hands-on experience in AI / ML / Generative AI / Agentic AI Prior experience implementing AI solutions in Banking or Financial Services delivering enterprise-scale production-grade systems Strong expertise in Python and SQL Microsoft Azure Cloud experience including: Azure OpenAI Azure AI Search Azure AI Document Intelligence Azure Vision Azure AI Foundry Agentic / LLM frameworks: LangGraph LangChain Advanced Prompt Engineering Computer Vision using OpenCV API development using FastAPI Git Docker Azure Container Services Azure Cosmos DB / Document DB CI/CD pipelines Good to Have Open-source AI technologies (YOLO models Deep Learning NLP) Agent orchestration frameworks: Semantic Kernel Microsoft Agentic Framework LLM evaluation metrics and frameworks (RAG evaluation custom benchmarks etc.) MCP (Model Context Protocol) Orkes (Agentic AI Workflow Automation Tool) Streamlit or Flask for rapid PoC development Microsoft Certification: Azure AI Engineer (AI-102) Preferred Candidate Profile Strong system design and architecture mindset Experience working on large-scale enterprise AI platforms Comfortable owning end-to-end delivery (design build deploy scale)

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