DevOps, Cloud, and Full-Stack Software Engineering opportunities.
DevOps Engineer | Full-Stack Software Engineer (MERN)
I build cloud infrastructure, deployment workflows, and full-stack web applications.
Most of my production DevOps work has been delivered in private client and enterprise environments. This GitHub highlights my public software engineering projects, selected technical work, and the hands-on portfolio I use to demonstrate how I design, build, and troubleshoot systems.
- Full-Stack Software Engineering (MERN)
- Cloud Infrastructure & Automation
- CI/CD & Deployment Reliability
- Containerization & Orchestration
- Infrastructure as Code
- Monitoring, Logging & Troubleshooting
A full-stack portfolio platform built to showcase engineering work through a polished public frontend and a structured backend-driven content system. It combines React, TypeScript, Vite, Tailwind CSS, Express, and MongoDB, with admin-managed content, testimonial and contact workflows, secure authentication, and deployment-ready architecture.
Stack: React, TypeScript, Vite, Tailwind CSS, Express, MongoDB
Highlights: admin-managed content, portfolio UX, contact/testimonial workflows, secure auth, deployment-ready setup
Repository: traliach/achille.dev
A full-stack marketplace application centered on restaurant promotions, owner workflows, admin moderation, and customer-facing deal discovery. It includes role-based access control, REST API design, and a React frontend integrated with live backend data.
Stack: React, TypeScript, Node.js, Express, MongoDB, JWT, RBAC
Highlights: moderation workflows, role-based access control, REST API design, full-stack architecture
Repositories: API · Web
Additional repositories on this profile reflect hands-on work across web development, JavaScript, Java, cloud tooling, and deployment-oriented engineering.
I bring 6+ years of DevOps experience across cloud infrastructure, CI/CD, containerized environments, Infrastructure as Code, monitoring, and production support. My public GitHub is centered on full-stack software engineering with the MERN stack, along with selected technical work that reflects my broader background in automation, systems, and deployment.
How the application serves users in production (request → auth → data → response):
flowchart LR
U[Users] -->|HTTPS| FE["React + TypeScript UI<br/>Vite build + Tailwind styling"]
FE -->|REST/JSON| API["Node.js + Express API<br/>TypeScript"]
FE -->|Send token| AUTH[JWT Auth]
API -->|Verify token| AUTH
AUTH -->|Enforce roles| AC["Access Control - RBAC"]
API --> AC
AC --> DB[(MongoDB)]
API --> OBS["Logs / Metrics / Traces"]
How changes move from commit → pipeline → container → infrastructure → deployment → monitoring:
flowchart TB
Dev[Developer] -->|push| SCM[Git repository]
SCM --> CI["Jenkins Pipeline<br/>Jenkinsfile = pipeline-as-code"]
CI --> QA["Lint + Unit/Integration Tests"]
CI --> Build["Build / Bundle<br/>TypeScript + Vite"]
Build --> Img["Docker Build<br/>Immutable images"]
Img --> Reg[Container Registry]
CI --> IaC["Terraform Plan/Apply<br/>Infrastructure as Code"]
IaC --> Cloud["Cloud Environment<br/>AWS / Azure"]
Reg --> Deploy["Deploy/Update Services<br/>rolling updates"]
Deploy --> Cloud
Cloud --> Verify["Health Checks + Rollback Hooks"]
Cloud --> Monitor["Monitoring + Alerting"]
This stack is organized into two systems: runtime (how requests are handled) and delivery (how changes ship safely).
Application
- React + TypeScript: component-driven UI with type safety
- Vite: fast local development and production bundling
- Tailwind CSS: consistent styling and fast UI iteration
- Node.js + Express + TypeScript: REST APIs, middleware, validation, and backend workflow handling
- JWT + RBAC: stateless authentication and server-side access control
Data and Storage
- MongoDB + Mongoose: document data model for MERN applications
- PostgreSQL / RDS: relational workloads and managed database operations
- DynamoDB / Redshift / Aurora / Oracle: broader database exposure across cloud and enterprise environments
- S3 / object storage concepts: static assets, storage integration, and cloud-based data workflows
Operations
- Logging / metrics / tracing: production visibility, troubleshooting, and operational feedback loops
CI/CD and Automation
- Jenkins / GitHub Actions / GitLab CI / Azure DevOps: pipeline automation, build orchestration, and deployment workflows
- Terraform / CloudFormation / Ansible: Infrastructure as Code, configuration automation, and repeatable environments
Containers and Platforms
- Docker / Docker Compose: consistent packaging across development, test, and production
- Kubernetes / OpenShift: container orchestration and platform operations
- Linux / Bash / Python: scripting, automation, and systems troubleshooting
Cloud Platforms
- AWS / Azure: compute, networking, storage, IAM, and managed cloud services
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