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Cloud Engineer - AWS IoT

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NTT DATA

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Location:
Mexico , GDL

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

As a Cloud Engineer - AWS IoT, you will design, build, and operate cloud solutions on AWS, focusing on scalability, reliability, and security. You will implement data-focused AWS services, develop automation scripts, and ensure compliance with industry standards. Collaboration with cross-functional teams is essential for success in this role.

Job Responsibility:

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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)
  • Proven expertise in AWS IAM (roles, policies, governance)
  • Proven expertise in CI/CD pipelines
  • Proven expertise in 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

Additional Information:

Job Posted:
January 25, 2026

Work Type:
Hybrid work
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