DevOps & CI/CD Pipeline Engineering
DevOps & CI/CD Pipeline Engineering
The Problem
Manual deployments are slow, error-prone, and don't scale. Without proper CI/CD, teams waste hours on repetitive tasks and ship bugs to production.
What I Deliver
CI/CD Pipelines
- GitHub Actions, GitLab CI, AWS CodeBuild/CodeDeploy
- Automated build, test, and deploy on every push
- Blue/green and canary deployment strategies
- Environment-specific pipelines (dev → staging → prod)
Infrastructure Automation
- Terraform for infrastructure provisioning
- Ansible for server configuration and app deployment
- Docker containerization and ECR registry management
Code Quality & Testing
- ESLint, Prettier, SonarQube integration
- Automated unit, integration, and E2E tests in pipeline
- Quality gates that block bad code from merging
Observability
- CloudWatch dashboards and alarms
- X-Ray distributed tracing
- Log aggregation and alerting
Typical Results
- Deploy in minutes instead of hours
- Zero manual steps from commit to production
- Catch bugs before production with automated quality gates
How It Works
- Assess — Review current deployment process and pain points
- Design — Pipeline architecture tailored to your stack
- Build — Implement CI/CD with automated testing and deploys
- Handoff — Documentation and team training