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AWS Solutions Architect

Discussion

Summary

Design and deliver end-to-end AWS cloud architectures for enterprise applications, focusing on data platforms and machine‑learning workloads, while leading technical teams, building CI/CD pipelines, IaC with Terraform, and container deployments on EKS.

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

  • 6–7+ 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


Benefits

Health Insurance
Gratuity
Visa
Flight to UAE
Accomodation for initial 1 week
Annual Return Ticket
Annual Increment

See also

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