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ranareehanaslam/README.md

Muhammad Rehan Aslam

Linux & Cloud DevOps Engineer | AWS • Azure • GCP

📍 Currently based in Naxxar, Malta | Open to opportunities across Malta

LinkedIn GitHub Email WhatsApp

I am a Linux and Cloud DevOps Engineer with 3+ years of experience building, operating, automating, and troubleshooting production infrastructure. My work focuses on reliability, security, observability, cost optimization, and repeatable deployments across AWS, Microsoft Azure, and Google Cloud.

My hands-on experience spans Linux and Windows administration, CI/CD, Docker, Kubernetes, infrastructure automation, enterprise virtualization, monitoring, networking, and security.

I am currently based in Malta and exploring opportunities in DevOps engineering, cloud infrastructure, Linux systems administration, and related IT infrastructure roles.


⚡ At a Glance

  • ☁️ Multi-cloud infrastructure across AWS, Azure & GCP
  • 🖥️ 50+ Linux & Windows servers administered
  • 💰 Reduced cloud spending by 25% through rightsizing and reserved-instance planning
  • 🔄 CI/CD pipelines using Jenkins & GitHub Actions
  • 📊 Prometheus, Grafana and Zabbix monitoring
  • 🐳 Docker, Docker Compose and Kubernetes workloads
  • ⚙️ Bash automation, health checks and service remediation
  • 🖧 VMware, Hyper-V, Proxmox and Veeam infrastructure
  • 🔐 Infrastructure security, IAM, SSL/TLS, DNS and firewalls

🏆 Security Recognition & Bug Bounty

Fiverr — Security Bug Bounty Recognition

15 November 2022

Discovered and responsibly disclosed a critical vulnerability in Fiverr's earning clearance system and received recognition from the Fiverr security team.

VestaCP — Security Bug Bounty Recognition

16 March 2018

Identified a bypass vulnerability affecting VestaCP's file manager and SFTP CHROOT licensing system. Reported it to the team and received a lifetime license.


🛠️ Core Capabilities

Area Technologies & Focus
☁️ Cloud Engineering AWS, Microsoft Azure, GCP, IAM, networking and cloud monitoring
🐧 Linux & Systems Linux administration, Windows Server, provisioning, hardening, SSH and troubleshooting
📦 Containers Docker, Docker Compose, Kubernetes, Docker Swarm and container networking
🔄 CI/CD Jenkins, GitHub Actions, GitLab CI, automated builds and deployments
📊 Observability Prometheus, Grafana, Grafana Alloy, cAdvisor, CloudWatch and Zabbix
🔐 Security & Networking IAM, firewalls, SSL/TLS, DNS, reverse proxies and access control
🌐 Edge Infrastructure Cloudflare DNS, CDN, WAF, Zero Trust, caching and tunnels
⚙️ Automation Bash, Python, backups, health checks and operational scripting
🖥️ Application Infrastructure Nginx, Apache, PHP, MySQL and cPanel/WHM
🖧 Virtualization & Recovery VMware vSphere/ESXi, Microsoft Hyper-V, Proxmox, Veeam and TrueNAS

🚀 Featured Infrastructure Work

📊 Grafana Alloy + cAdvisor Monitoring

Practical observability architecture for Linux hosts and Docker workloads using:

  • Grafana Alloy
  • cAdvisor
  • Prometheus-compatible metrics
  • Grafana dashboards
  • Loki-based container log collection

Focus: Observability • Linux • Docker • Prometheus • Grafana

View project on GitHub


🐳 Docker Swarm + Traefik + Portainer

Container infrastructure covering:

  • Docker Swarm orchestration
  • Traefik reverse proxy
  • TLS/HTTPS certificate management
  • Portainer management
  • Container networking and service routing

Focus: Containers • Networking • Reverse Proxy • TLS

View project on GitHub


☁️ GPU Workloads on AWS Elastic Beanstalk

Deployment of GPU-based applications on AWS Elastic Beanstalk, including containerized application deployment and cloud infrastructure configuration.

Focus: AWS • Elastic Beanstalk • Docker • GPU Workloads

View project on GitHub


🐧 Linux User Management & Access Control

Practical Linux administration covering:

  • Users and groups
  • File permissions and access control
  • Restricted developer accounts
  • SSH access isolation
  • Secure multi-user environments

Focus: Linux • Security • System Administration

View project on GitHub


☸️ GPU Container on GKE Autopilot

Containerized GPU workload deployment using Google Kubernetes Engine Autopilot.

Focus: GCP • Kubernetes • GKE • Docker • GPU Workloads

View project on GitHub


🔒 Linux cgroups v2

Technical exploration of Linux Control Groups v2 for managing:

  • CPU resources
  • Memory usage
  • I/O resources
  • Process and container resource allocation

Focus: Linux Internals • Resource Management • Containers

View project on GitHub


💼 Professional Experience

DevOps Engineer — Techloyce

15 July 2024 – 30 July 2026 | Lahore, Pakistan

Sole DevOps engineer responsible for multi-cloud infrastructure, production servers, CI/CD, monitoring, security, automation, and technical operations.

  • Managed cloud infrastructure across AWS, Azure, and GCP.
  • Administered 50+ Linux and Windows servers across production and hosted environments.
  • Reduced cloud spending by 25% through reserved-instance planning, resource rightsizing, and decommissioning idle services.
  • Designed and deployed scalable cloud architectures, improving operational efficiency by 30%.
  • Built and maintained CI/CD pipelines using Jenkins and GitHub Actions.
  • Automated backups, log rotation, health checks, and service remediation using Bash.
  • Implemented Prometheus and Grafana dashboards for infrastructure visibility.
  • Managed firewall rules, IAM controls, SSL/TLS certificates, and infrastructure security.
  • Administered VMware and Proxmox virtual machines, including provisioning, patching, and performance tuning.

Infrastructure & DevOps Engineer — Independent Contract

19 March 2025 – 17 April 2026 | Remote, Pakistan

Remote infrastructure engagement supporting enterprise Linux, Windows, and virtualization infrastructure for a US-based technology manufacturer.

  • Administered enterprise Linux and Windows Server environments, including provisioning, upgrades, performance optimization, and troubleshooting.
  • Executed VMware vSphere-to-Hyper-V migration projects, including migration, functional testing, and post-migration validation.
  • Managed VMware vSphere/ESXi and Hyper-V virtual machine lifecycles.
  • Implemented Zabbix monitoring and alerting for server health and service availability.
  • Operated Veeam Backup & Replication and TrueNAS storage for backup, recovery, and migration workflows.
  • Built and maintained Jenkins environments and supported Kubernetes clusters and Docker workloads.
  • Administered Active Directory, domain controllers, and DNS.
  • Deployed Black Duck for software composition analysis and secure development workflows.

MLOps Engineer — Metex Labz

15 May 2023 – 12 July 2024 | Islamabad, Pakistan

Focused on deploying and operating machine-learning workloads in production environments.

  • Deployed machine-learning models using Docker and Kubernetes.
  • Built and maintained CI/CD pipelines for model packaging and production releases.
  • Developed and maintained REST APIs and microservices for real-time inference.
  • Administered virtual machines, on-premises servers, and containerized workloads.
  • Used Python and Bash automation for infrastructure operations and troubleshooting.
  • Monitored production infrastructure and ML pipelines for performance degradation and bottlenecks.
  • Supported scalable, reliable containerized application deployments.

🎓 Certifications & Training

AWS re/Start Graduate

Amazon Web Services | August 2025

Completed AWS re/Start training covering Linux, networking, security, Python, AWS core services, cloud operations, and professional skills.

Verify on Credly

AWS Cloud Quest: Cloud Practitioner

Amazon Web Services | February 2025

Hands-on learning covering AWS compute, networking, storage, security, and cloud architecture fundamentals.

Verify on Credly

Linux Unhatched

Cisco Networking Academy | February 2025

Training covering Linux command-line usage, filesystems, users, permissions, and administration.

Verify on Credly

Education

Bachelor of Science in Computer Science

Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan
February 2019 – March 2023


🧰 Technical Stack

Cloud
├── AWS
├── Microsoft Azure
└── Google Cloud Platform

Operating Systems
├── Linux
└── Windows Server

Containers & Orchestration
├── Docker
├── Docker Compose
├── Kubernetes
└── Docker Swarm

CI/CD & Version Control
├── Jenkins
├── GitHub Actions
├── GitLab CI
└── Git

Observability
├── Prometheus
├── Grafana
├── Grafana Alloy
├── cAdvisor
├── CloudWatch
└── Zabbix

Automation
├── Bash
└── Python

Virtualization & Recovery
├── VMware vSphere / ESXi
├── Microsoft Hyper-V
├── Proxmox
├── Veeam Backup & Replication
└── TrueNAS

Networking & Security
├── DNS
├── SSL/TLS
├── IAM
├── Firewalls
├── Active Directory
├── Reverse Proxies
└── Cloudflare

Web & Application Infrastructure
├── Nginx
├── Apache
├── PHP
├── MySQL
└── cPanel / WHM

🌐 Connect With Me

📍 Location: Naxxar, Malta

Currently exploring DevOps, Cloud Engineering, Linux Systems Administration, and IT Infrastructure opportunities in Malta.

Feel free to connect!


Building reliable infrastructure through automation, observability, and secure engineering.

Pinned Loading

  1. Grafana-Alloy-cAdvisor-Monitoring-Guide Grafana-Alloy-cAdvisor-Monitoring-Guide Public

    A clean, production‑ready guide to monitor Docker & host metrics using Grafana Alloy and cAdvisor

  2. Docker-Swarm-with-Traefik-and-Portainer Docker-Swarm-with-Traefik-and-Portainer Public

    Docker Swarm with Traefik and Portainer

    1

  3. Deploying-GPU-based-Apps-on-AWS-Elastic-Beanstalk Deploying-GPU-based-Apps-on-AWS-Elastic-Beanstalk Public

    Deploying GPU-based Apps on AWS Elastic Beanstalk

    1

  4. The-Ultimate-Guide-to-Linux-User-Management-Access-Control-for-Developers-Secure-Multi-User The-Ultimate-Guide-to-Linux-User-Management-Access-Control-for-Developers-Secure-Multi-User Public

    🚀 How to Set Up Developer Accounts on Ubuntu with Limited Access

    1

  5. Automatic1111-GPU-Container-on-GKE-Autopilot Automatic1111-GPU-Container-on-GKE-Autopilot Public

    Effortless AI Art: Deploying Stable Diffusion with Automatic1111 on GKE Autopilot

    Shell

  6. Ultimate-Guide-to-cgroups-v2-in-Linux Ultimate-Guide-to-cgroups-v2-in-Linux Public

    Control Groups (cgroups v2) allow you to manage CPU, memory, and I/O usage for processes, preventing any single app from consuming excessive resources.