devops-iac-engineer
Implements infrastructure as code using Terraform, Kubernetes, and cloud platforms. Designs scalable architectures, CI/CD pipelines, and observability solutions. Provides security-first DevOps practices and site reliability engineering guidance.
Best use case
devops-iac-engineer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Implements infrastructure as code using Terraform, Kubernetes, and cloud platforms. Designs scalable architectures, CI/CD pipelines, and observability solutions. Provides security-first DevOps practices and site reliability engineering guidance.
Teams using devops-iac-engineer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/devops-iac-engineer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How devops-iac-engineer Compares
| Feature / Agent | devops-iac-engineer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Implements infrastructure as code using Terraform, Kubernetes, and cloud platforms. Designs scalable architectures, CI/CD pipelines, and observability solutions. Provides security-first DevOps practices and site reliability engineering guidance.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# DevOps IaC Engineer This Skill helps DevOps teams design, implement, and maintain cloud infrastructure using Infrastructure as Code principles. Use this when building cloud architectures, deploying containerized applications, setting up CI/CD pipelines, or implementing observability and security practices. ## Quick Navigation - **Terraform & IaC**: See [terraform.md](reference/terraform.md) for Terraform best practices and patterns - **Kubernetes & Containers**: See [kubernetes.md](reference/kubernetes.md) for container orchestration - **Cloud Platforms**: See [cloud_platforms.md](reference/cloud_platforms.md) for AWS, Azure, GCP guidance - **CI/CD Pipelines**: See [cicd.md](reference/cicd.md) for pipeline design and GitOps - **Observability**: See [observability.md](reference/observability.md) for monitoring and logging - **Security**: See [security.md](reference/security.md) for DevSecOps practices - **Templates & Tools**: See [templates.md](reference/templates.md) for ready-to-use templates ## Core Principles ### Key DevOps Terminology (Consistent Throughout) - **Infrastructure as Code (IaC)**: Managing infrastructure through declarative code files - **GitOps**: Using Git as the single source of truth for infrastructure and applications - **Immutable Infrastructure**: Infrastructure components that are replaced rather than modified - **Service Mesh**: Infrastructure layer for service-to-service communication - **Observability**: Ability to understand system state from external outputs (logs, metrics, traces) - **SLI/SLO/SLA**: Service Level Indicators/Objectives/Agreements for reliability - **RTO/RPO**: Recovery Time Objective/Recovery Point Objective for disaster recovery ### Workflow: Infrastructure Implementation When implementing infrastructure, follow this structured approach: 1. **Understand Requirements** - What is the business need? (new application, migration, scaling, compliance) - What are the scale requirements? (traffic, data, geographic distribution) - What are the constraints? (budget, timeline, regulatory) - What are the dependencies? (existing systems, data sources) 2. **Design Architecture** - Choose appropriate cloud platform(s) and services - Design for high availability and fault tolerance - Plan network topology and security boundaries - Identify data flows and storage requirements - Document architecture with diagrams 3. **Select IaC Tools** - Terraform for multi-cloud infrastructure provisioning - Kubernetes manifests/Helm for container orchestration - CI/CD tool selection based on team and requirements - Configuration management tools if needed 4. **Implement Infrastructure** - Create modular, reusable IaC code - Follow security best practices (see [security.md](reference/security.md)) - Implement proper state management and versioning - Use consistent naming and tagging conventions - Document code and create README files 5. **Set Up Observability** - Define SLIs and SLOs for critical services - Implement logging, metrics, and tracing - Create dashboards and alerts - Set up log aggregation and analysis - Plan on-call rotation and runbooks 6. **Implement CI/CD** - Design deployment pipeline stages - Implement automated testing (unit, integration, e2e) - Set up GitOps workflows - Configure deployment strategies (blue/green, canary) - Implement rollback procedures 7. **Test & Validate** - Run infrastructure tests (security, compliance, cost) - Perform disaster recovery drills - Load testing and performance validation - Security scanning and penetration testing - Document test results and improvements 8. **Deploy & Monitor** - Execute phased rollout - Monitor metrics and logs closely - Validate against SLOs - Document runbooks and troubleshooting guides - Conduct post-deployment review ### Decision Framework: Tool Selection **Multi-Cloud Requirements** → Terraform or Pulumi **AWS-Only** → Terraform, AWS CDK, or CloudFormation **Container Orchestration** → Kubernetes (EKS, GKE, AKS) **Simple Container Deployment** → ECS, Cloud Run, or App Service **Configuration Management** → Ansible or cloud-native solutions **GitOps Workflows** → ArgoCD or Flux **CI/CD Pipelines** → GitHub Actions, GitLab CI, or Jenkins ## Common Challenges & Solutions **Problem**: Infrastructure drift between code and reality **Solution**: Implement automated drift detection, use terraform plan in CI/CD, enable read-only production access, maintain state file integrity **Problem**: Secrets management and credential exposure **Solution**: Use cloud-native secret managers (AWS Secrets Manager, HashiCorp Vault), implement SOPS for encrypted secrets in Git, use IRSA/workload identity **Problem**: High cloud costs and unexpected bills **Solution**: Implement tagging strategy, use cost allocation tags, set up budget alerts, right-size resources, use spot instances, implement auto-scaling **Problem**: Complex Kubernetes configurations **Solution**: Use Helm charts for templating, implement Kustomize for environment-specific configs, follow GitOps patterns, use operators for complex workloads ## Collaboration Tips - **With Development Teams**: Provide self-service platforms, document APIs, share infrastructure as reusable modules - **With Security Teams**: Implement policy as code, automate compliance checks, provide audit trails - **With SRE Teams**: Define SLIs/SLOs together, share on-call responsibilities, collaborate on incident response - **With Finance Teams**: Provide cost visibility, forecast expenses, implement chargeback models --- ## Next Steps 1. Start with [terraform.md](reference/terraform.md) if you're implementing infrastructure as code 2. Use [kubernetes.md](reference/kubernetes.md) for container orchestration 3. Reference [templates.md](reference/templates.md) for ready-to-use configurations 4. Check [observability.md](reference/observability.md) to set up monitoring **Note**: Always verify current infrastructure state, security requirements, and compliance needs before implementing changes. This Skill provides frameworks and best practices but should be adapted to your organization's specific requirements.
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