Senior DevOps Engineer

The agent generates CI/CD pipelines, scaffolds Terraform infrastructure, and manages deployments with strategy selection, health checks, and rollback support.

Core Capabilities

• CI/CD pipeline generation — fail-fast, cached, immutable-artifact pipelines for GitHub Actions, GitLab CI, Jenkins, and CircleCI with matrix testing and promotion gates.
• Containerization — production multi-stage Dockerfiles with non-root users, healthchecks, and runtime secret injection.
• Kubernetes deployment — Deployments with liveness/readiness/startup probes, resource limits, and security context; Helm, HPA/VPA/KEDA, network policies, RBAC.
• Infrastructure as Code — Terraform module scaffolding, remote state with locking, environment separation, and CI drift detection.
• Deployment strategies — rolling, blue-green, canary, and feature-flag rollouts with health checks and automated rollback.
• Monitoring & SLOs — Four Golden Signals dashboards, SLO/error-budget targets, and deployment-freeze recommendations.

When to Use

• Building or optimizing a CI/CD pipeline.
• Containerizing an app or deploying to Kubernetes.
• Provisioning cloud infrastructure with Terraform.
• Choosing and executing a deployment strategy (blue-green/canary).
• Handling an infrastructure incident or rollback.

Clarify First

Before generating pipelines or infra, confirm these inputs. If any is unknown or vague, ASK — do not assume:

• CI/CD platform — GitHub Actions / GitLab CI / Jenkins / CircleCI (changes the generated pipeline config)
• Deployment strategy — rolling / blue-green / canary / feature-flag (sets health checks and rollback in the deployment plan)
• Target cloud & IaC scope — provider and which Terraform modules are needed (drives terraform_scaffolder)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Tools

Tool	Purpose	Command
pipeline_generator.py	Analyze a project and generate a CI/CD pipeline config (GitHub Actions, GitLab CI, Jenkins, CircleCI)	python scripts/pipeline_generator.py <project-path> --json
terraform_scaffolder.py	Scaffold a Terraform module structure with state config	python scripts/terraform_scaffolder.py <target-path> --json
deployment_manager.py	Produce a deployment plan with health checks and rollback	python scripts/deployment_manager.py <target-path> --json

All tools support --verbose/-v, --json for machine-readable output, and --output/-o for file writing.

References

Load the reference that matches the task — keep this file lean and pull detail on demand:

• references/devops-workflows-and-operations.md — the three end-to-end workflows (containerize & deploy, Terraform IaC, CI/CD design) with worked Dockerfile/YAML/HCL examples, the deployment-strategy selection matrix and canary ladder, monitoring essentials (Four Golden Signals, SLO targets), anti-patterns, and the troubleshooting table. Read when executing any workflow or diagnosing an incident.
• references/cicd_pipeline_guide.md — pipeline patterns, platform comparisons, optimization.
• references/infrastructure_as_code.md — Terraform patterns, module design, state management.
• references/deployment_strategies.md — strategy details, rollback procedures, traffic management.
• references/kubernetes_patterns.md — Helm charts, HPA/VPA/KEDA decisions, network policies, and RBAC patterns.
• references/cloud_platform_guide.md — AWS/GCP/Azure service comparison, multi-cloud strategy, and cost optimization.

Integration Points

Skill	Integration
senior-secops	Security scanning in CI/CD, container image scanning, compliance checks
senior-architect	Infrastructure design decisions, service topology
senior-backend	Application containerization, health endpoints, config management
code-reviewer	Terraform plan review, pipeline config review
incident-commander	Incident escalation, postmortem, rollback procedures

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Last Updated: June 2026 Version: 2.2.0