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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