DevOps Engineer

Open to part-time
Bio

Muhammad U is a DevOps Engineer with several years of experience in cloud-native infrastructure and automation. He works extensively with Docker, Kubernetes, GitLab CI, ArgoCD, and Ansible to build and deploy containerized applications and CI/CD pipelines. His expertise includes managing cloud infrastructure on AWS and Azure, implementing security policies with RBAC, and optimizing autoscaling for high-load environments. Muhammad also employs Prometheus, Grafana, and the ELK stack for comprehensive monitoring and observability. At Programmers Force, Muhammad designed end-to-end CI/CD pipelines using GitLab CI and ArgoCD, reducing deployment time and errors. He also led Kubernetes-based microservices deployments, managing Helm charts and enforcing security standards. At Deviick Technologies, he automated AWS infrastructure management, enhancing system scalability and reliability. Muhammad holds a Bachelor’s degree in Computer Science from the University of Central Punjab. He is well-suited for roles focused on cloud infrastructure automation, CI/CD pipeline development, and scalable system deployments.

Video Intro
Assessments
APPLICANT AVG · 52%UMER · 89%0255075100TopASSESSMENT SCORE (0–100)
  • Find the Length of the Longest Substring Without Repeating CharactersEasy
  • Design a Scalable and Compliant SaaS Platform ArchitectureHard
  • Strategize Microservices Deployment on AWS EKS for Peak Load ManagementHard
Projects

End-to-End CI/CD Pipeline with GitLab CI and ArgoCD

Designed and implemented CI/CD pipelines using ArgoCD and GitLab Actions, significantly reducing deployment time and human error. Integrated automated testing and Docker image builds into the pipeline for seamless application delivery. Used Ansible to provision infrastructure and configure environments for consistency and scalability.

Kubernetes-Based Microservices Deployment

Containerized multiple services using Docker and deployed them with Kubernetes on both cloud platforms and bare-metal servers. Managed Helm charts and applied RBAC policies to enforce security standards across services. Used Prometheus and Grafana for monitoring application health and system performance. Tuned autoscaling and resource limits to ensure efficient usage in high-load environments.

DevOps Setup on Hetzner – NGINX, PHP, MongoDB, Docker, ELK, CI/CD

Setup a production-ready, secure, and optimized Hetzner Cloud or Dedicated Server. Includes Linux installation & hardening, firewall (UFW/iptables), SSH key setup, Docker + Compose, monitoring with Prometheus & Grafana, backup strategy, domain/DNS config, private networking & floating IPs. Optional: CI/CD pipelines, Kubernetes (k3s/k8s).

Experience
  1. Associate Devops Engineer

    Programmers Force· Enterprise & SaaSJul 2024Present
    • Managed auto-scaling and secure deployments of applications using AWS Image Builder and Lambda functions, optimizing resource utilization and high availability.
    • Deployed and maintained containerized applications with Docker and Kubernetes on both cloud (AWS, Azure) and on-premises infrastructure.
    • Published and managed products on cloud marketplaces, including AWS Marketplace (leveraging Nitro Enclaves for secure workloads) and Azure Marketplace using Kubernetes CNAB bundles.
    • Built and maintained CI/CD pipelines using Ansible, ArgoCD and GitLab Actions, accelerating software delivery and improving deployment reliability.
    • Implemented robust monitoring and observability using ELK stack, Prometheus, Grafana, and node-exporter, including custom Python and Bash scripts for request tracking and system performance analysis.
    • Secured cloud and on-prem environments by configuring RBAC, iptables, and aligning with CIS Benchmarks, enhancing security posture.
    AWS Image BuilderLambda functionsDockerKubernetesAnsibleArgoCDGitLab ActionsELK stackPrometheusGrafanaPythonBashTerraformAzureEKSAKS
  2. Associate DevOps Engineer

    Deviick Technologies· Blockchain & Web3May 2023May 2024
    • Managed AWS cloud infrastructure: EC2, S3, IAM, and VPC.
    • Automated deployment workflows using Gitlab CI/CD Pipeline.
    • Automated deployment workflows using AWS Image Builder and CloudFormation.
    • Improved scalability, reliability, and operational efficiency of cloud-based systems.
    AWSGitlab CI/CDAWS Image BuilderCloudFormation
Education
  1. Bachelor in computer science

    University of central punjabLahore, Pakistan2020 — 2024
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