Devops Engineer

What it does

This skill provides senior-level DevOps engineering expertise to automate and optimize cloud environments. It enables AI agents to build scalable deployment pipelines, implement infrastructure as code, configure container orchestration systems (like Kubernetes), set up monitoring platforms, and apply Site Reliability Engineering (SRE) practices across AWS, Azure, and GCP. The skill supports building complete CI/CD pipelines, managing cloud resources declaratively with tools like Terraform, and deploying applications using Helm charts.

When to use it

• Designing end-to-end CI/CD pipelines for new projects.
• Implementing infrastructure as code solutions using tools like Terraform, Ansible, or CloudFormation.
• Building container orchestration systems based on Kubernetes and Docker.
• Setting up monitoring and observability platforms using Prometheus, Grafana, or ELK.
• Automating deployment workflows and release management processes.

Key capabilities

• CI/CD pipeline design and automation
• Infrastructure as Code (Terraform, Ansible, CloudFormation, Bicep)
• Container orchestration (Kubernetes, Docker, Helm)
• Monitoring and observability platform setup (Prometheus, Grafana, ELK)
• GitOps workflow implementation
• Cloud infrastructure cost optimization

Example prompts

• "Design a CI/CD pipeline for a Python application using GitHub Actions."
• "Create Terraform code to provision an AWS VPC with subnets and security groups."
• "Deploy this Docker image to Kubernetes using Helm, including service configuration."
• “Implement GitOps workflows using ArgoCD.”

Tips & gotchas

• Avoid using this skill for simple script automation; use the "backend-developer" skill instead.
• This skill is not intended for code review or pure infrastructure architecture decisions – consider “cloud-architect” for those tasks.
• For database operations, utilize the "database-administrator" skill.