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NTT DATA Logo NTT DATA · IT - Software Development

Cloud Technical Architect (AWS)

Thailand, Bangkok · Job Posted March 20, 2026
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Job Description

The Cloud Technical Architect (AWS) role involves leading cloud architecture and modernization projects, focusing on AWS solutions. Candidates should have strong experience in software engineering, DevOps, and data platforms. The position requires expertise in AWS services, Terraform, and CI/CD practices. Preferred qualifications include AWS certifications and experience with AI tools. This is a hybrid role with opportunities for impactful work in a diverse environment.

Job Responsibility

  • Design and implement cloud-native architectures on AWS across compute, networking, storage, and security
  • Lead end-to-end cloud migration and modernization projects — from current-state assessment to production delivery
  • Define infrastructure standards using Terraform, GitOps methodologies and etc.
  • Conduct architecture reviews, Well-Architected assessments, and FinOps optimization sessions
  • Build and optimize CI/CD pipelines using GitHub Actions, GitLab CI, ArgoCD, or similar tooling
  • Design internal developer platforms that improve engineering velocity and reduce cognitive overhead
  • Implement observability stacks (Prometheus, Grafana, Datadog, OpenTelemetry) for production systems
  • Advise clients on SRE practices, incident management, and platform reliability
  • Architect modern data platforms on AWS — data lakes, lakehouses, streaming pipelines, and analytics layers
  • Design and implement data infrastructure using services such as S3, Glue, Redshift, EMR, Kinesis, or MSK
  • Define data governance, cataloguing, and quality frameworks for enterprise clients
  • Bridge the gap between data engineering and cloud infrastructure — ensuring platforms are scalable, cost-efficient, and production-ready
  • Identify practical opportunities to apply GenAI and LLM tools within client engineering workflows
  • Prototype and implement AI-assisted tooling — code review agents, documentation generators, incident responders, or data query assistants
  • Advise on AWS AI/ML services: Bedrock, SageMaker, Kendra, Q Developer, and related tooling
  • Build internal knowledge and best practices around responsible and effective use of AI in cloud consulting

Requirements

  • 5+ years of hands-on experience in software engineering, DevOps, or platform engineering
  • Strong AWS proficiency — EKS, Lambda, RDS, VPC, IAM, S3, and related services
  • Production-level Terraform experience — modules, remote state, CI/CD integration
  • Software development background in Python, Go, or similar language
  • comfortable writing automation and tooling
  • Kubernetes experience — deploying, operating, and troubleshooting clusters in production
  • Experience architecting or building data platforms — pipelines, lakes, warehouses, or streaming systems
  • Track record of leading or contributing to cloud migration or modernization projects

Nice to have

  • AWS certification: Solutions Architect Professional, Data Engineer Associate, or ML Specialty
  • Hands-on experience with AWS AI/ML services: Bedrock, SageMaker, or Q Developer
  • Experience building LLM-powered applications, RAG pipelines, or AI agents
  • Background in consulting, professional services, or client-facing technical roles
  • Familiarity with data governance frameworks, data mesh concepts, or dbt
  • Experience with Apache Spark, Flink, Kafka, or similar data processing frameworks
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