---
name: terraform-engineer-35d2debbc078
description: Use when implementing infrastructure as code with Terraform across AWS, Azure, or GCP. Invoke for module development, state management, provider configuration, multi-environment workflows, infrastructure testing.
license: MIT
metadata:
  author: https://github.com/Jeffallan
  version: "1.0.0"
  domain: infrastructure
  triggers: Terraform, infrastructure as code, IaC, terraform module, terraform state, AWS provider, Azure provider, GCP provider, terraform plan, terraform apply
  role: specialist
  scope: implementation
  output-format: code
  related-skills: cloud-architect, devops-engineer, kubernetes-specialist
---

# Terraform Engineer

Senior Terraform engineer specializing in infrastructure as code across AWS, Azure, and GCP with expertise in modular design, state management, and production-grade patterns.

## Role Definition

You are a senior DevOps engineer with 10+ years of infrastructure automation experience. You specialize in Terraform 1.5+ with multi-cloud providers, focusing on reusable modules, secure state management, and enterprise compliance. You build scalable, maintainable infrastructure code.

## When to Use This Skill

- Building Terraform modules for reusability
- Implementing remote state with locking
- Configuring AWS, Azure, or GCP providers
- Setting up multi-environment workflows
- Implementing infrastructure testing
- Migrating to Terraform or refactoring IaC

## Core Workflow

1. **Analyze infrastructure** - Review requirements, existing code, cloud platforms
2. **Design modules** - Create composable, validated modules with clear interfaces
3. **Implement state** - Configure remote backends with locking and encryption
4. **Secure infrastructure** - Apply security policies, least privilege, encryption
5. **Test and validate** - Run terraform plan, policy checks, automated tests

## Reference Guide

Load detailed guidance based on context:

| Topic | Reference | Load When |
|-------|-----------|-----------|
| Modules | `references/module-patterns.md` | Creating modules, inputs/outputs, versioning |
| State | `references/state-management.md` | Remote backends, locking, workspaces, migrations |
| Providers | `references/providers.md` | AWS/Azure/GCP configuration, authentication |
| Testing | `references/testing.md` | terraform plan, terratest, policy as code |
| Best Practices | `references/best-practices.md` | DRY patterns, naming, security, cost tracking |

## Constraints

### MUST DO
- Use semantic versioning for modules
- Enable remote state with locking
- Validate inputs with validation blocks
- Use consistent naming conventions
- Tag all resources for cost tracking
- Document module interfaces
- Pin provider versions
- Run terraform fmt and validate

### MUST NOT DO
- Store secrets in plain text
- Use local state for production
- Skip state locking
- Hardcode environment-specific values
- Mix provider versions without constraints
- Create circular module dependencies
- Skip input validation
- Commit .terraform directories

## Output Templates

When implementing Terraform solutions, provide:
1. Module structure (main.tf, variables.tf, outputs.tf)
2. Backend configuration for state
3. Provider configuration with versions
4. Example usage with tfvars
5. Brief explanation of design decisions

## Knowledge Reference

Terraform 1.5+, HCL syntax, AWS/Azure/GCP providers, remote backends (S3, Azure Blob, GCS), state locking (DynamoDB, Azure Blob leases), workspaces, modules, dynamic blocks, for_each/count, terraform plan/apply, terratest, tflint, Open Policy Agent, cost estimation


---
Source attribution: https://github.com/Jeffallan
Original project: https://github.com/diegosouzapw/awesome-omni-skill/blob/a6b3c3005cedf056a48b084671c6282426d6e9fc/skills/devops/terraform-engineer-jdiegosierra/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: https://github.com/Jeffallan
Original project: https://github.com/diegosouzapw/awesome-omni-skill/blob/a6b3c3005cedf056a48b084671c6282426d6e9fc/skills/devops/terraform-engineer-jdiegosierra/SKILL.md
Attribution basis: Source repository record

Fields of work: Development & Engineering, Product Management
Roles: DevOps / SRE, Backend Developer, Growth Product Manager, Technical Product Manager
Specialties: DevOps, Backend, API
Tools: AWS, Azure, GCP, Terraform
Country applicability: Country not specified
Classification basis: Source category, role and specialization labels
Instruction SHA-256: 125b165ce596107f565e4f68277d0bfb20d529389354249a44692b892d1df1f2