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NTT DATA Logo NTT DATA · IT - Software Development

Cloud Engineer - AWS IoT

Mexico, GDL · Job Posted February 03, 2026
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Job Description

The Cloud Engineer - AWS IoT role involves designing and implementing cloud solutions on AWS, focusing on scalability and security. Candidates should have strong experience with AWS services, Terraform, and automation scripting. Collaboration with cross-functional teams and providing technical mentorship are key aspects of the role. A bachelor's degree in a related field is preferred, along with relevant AWS certifications.

Job Responsibility

  • Cloud Engineering & Provisioning: Design, provision, and operate secure, scalable AWS infrastructure for production environments
  • Independently manage production AWS accounts with privileged access, following security and governance best practices
  • Implement and maintain AWS services including EC2, VPC, IAM, S3, EKS, Lambda, Glue, Athena, Step Functions
  • Build and manage S3-based data lakes with appropriate security, lifecycle, and access controls
  • Infrastructure as Code (IaC): Design and implement infrastructure using Terraform (modules, state management, reusable patterns)
  • Enforce IaC standards for multi-account and multi-environment setups
  • Perform code reviews and ensure IaC is production-ready, secure, and scalable
  • IAM, Security & Governance: Design and manage IAM roles, policies, permission boundaries, and trust relationships
  • Handle superuser-level access in production, ensuring least privilege and auditability
  • Implement encryption, key management, logging, and monitoring controls
  • Partner with cybersecurity teams to meet enterprise compliance standards
  • CI/CD & DevOps Automation: Build, manage, and optimize CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, or similar tools
  • Integrate infrastructure provisioning, application deployment, and security scans into CI/CD workflows
  • Automate operational tasks using Python, Bash, or similar scripting languages
  • Data & ML Platforms: Build and operate data pipelines using AWS Glue, Athena, Lambda, and related services
  • Support and operate ML workloads using SageMaker
  • Work with or support Databricks environments (deployment, integration, security, or operations)
  • Collaborate closely with data engineering and analytics teams
  • Production Operations: Monitor and troubleshoot production systems using CloudWatch, Datadog, Prometheus, or similar tools
  • Participate in on-call rotations and incident response
  • Drive root cause analysis and continuous improvement

Requirements

  • 5–6+ years of hands-on Cloud Engineering experience (not support-only roles)
  • Strong, hands-on AWS experience in production environments
  • Proven expertise in: Terraform (advanced level)
  • AWS IAM (roles, policies, governance)
  • CI/CD pipelines
  • S3, Glue, Athena
  • Experience supporting production systems with elevated access
  • Strong scripting skills (Python preferred)
  • Ability to work independently and take ownership of complex environments

Nice to have

  • Hands-on experience with Databricks
  • Hands-on experience with AWS SageMaker
  • AWS certifications (Associate or Professional)
  • Experience in enterprise or regulated environments
  • Exposure to multi-account or large-scale AWS architectures
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