devops-iac-engineer

Cloud infrastructure design, provisioning, and operations using IaC, Kubernetes, and DevOps best practices. Covers Terraform, Kubernetes, and multi-cloud platforms (AWS, Azure, GCP) with structured workflows for architecture design, implementation, and validation Includes CI/CD pipeline design, GitOps patterns, and deployment strategies (blue/green, canary) with automated testing and rollback procedures Provides observability frameworks with SLI/SLO/SLA definitions, logging, metrics, tracing, and on-call runbook guidance Addresses common challenges: infrastructure drift detection, secrets management, cost optimization, and complex Kubernetes configurations Emphasizes security-first practices, policy-as-code, compliance automation, and cross-team collaboration patterns

INSTALLATION
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SKILL.md

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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:

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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)

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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

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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

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Implement Infrastructure

  • Create modular, reusable IaC code
  • Implement proper state management and versioning
  • Use consistent naming and tagging conventions
  • Document code and create README files

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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

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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

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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

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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

  • Start with terraform.md if you're implementing infrastructure as code

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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