DevOps Engineer

Open to full-time
Bio

Moiz K is a DevOps Engineer with several years of experience in cloud infrastructure management and automation across AWS and Microsoft Azure environments. He is proficient in technologies such as Docker, Jenkins, GitHub Actions, and Terraform, which he uses to build and maintain CI/CD pipelines, automate deployments, and manage infrastructure as code. Moiz is skilled in Linux server administration and employs monitoring tools like Grafana and CloudWatch to ensure system reliability and performance. At OIRRC, Moiz managed Azure infrastructure and implemented Docker-based deployments, enhancing system consistency. He also contributed to the Cloud Automated Deployment Environment (C.A.D.E) project, automating AWS provisioning using Terraform for scalable and secure deployments. His work on the Smart Weather Analytics Dashboard involved deploying a full-stack platform on AWS with automated testing and deployment via GitLab CI/CD. Moiz holds a BS in Computer Science from the Institute of Space Technology and has certifications in AWS DevOps and other relevant fields. He is well-suited for roles focusing on cloud operations, infrastructure automation, and scalable deployment solutions.

Expertise
AWSAzureBashGitJenkinsKubernetesTerraform
Video Intro
Assessments

General Coding and Video Assessment

Great score on Implement LRU Cache Algorithm, Difficulty Medium · Great score on Design a High-Availability, Compliant EKS Deployment, Difficulty Medium · Great score on Design a Scalable and Compliant SaaS Platform Architecture, Difficulty Medium

Projects

Smart Weather Analytics Dashboard (S.W.A.D)

Built full-stack weather analytics platform with live weather API integration. Deployed on AWS EC2 using Nginx for production. Implemented GitLab CI/CD pipelines for automated testing and deployment.

Metaverse Backend Deployment

Containerized backend using multi-stage Docker builds. Managed multi-container setups with Docker Compose. Deployed containers on cloud with CI/CD integration for scalable operations.

Cloud Automated Deployment Environment (C.A.D.E)

Automated AWS provisioning using Terraform for repeatable infrastructure. Integrated Terraform with CI/CD pipeline for consistent, secure deployments. Ensured deployments were scalable and production-ready.

Experience
  1. DevOps Engineer

    OIRRC· HealthTechNov 2025Apr 2026
    • Managed Microsoft Azure infrastructure (VMs, Resource Groups, Storage, Networking, and Azure Monitor)
    • Implemented Docker-based deployments for consistent environments
    • Designed and maintained CI/CD pipelines
    • Managed access control using Azure RBAC
    • Configured Grafana alerts and monitored system health
    • Supported Linux-based production workloads with automation and troubleshooting
    AzureGrafanaPromotheseAWS ServicesTeraformJenkinsGithub
  2. DevOps Engineer

    Mediatiz Foundation· Enterprise & SaaSSep 2025Oct 2025
    • Maintained and optimized AWS cloud infrastructure
    • Built and deployed Docker containers for applications
    • Automated deployments using CI/CD pipelines
    • Monitored systems with CloudWatch and configured alerting
    • Supported Linux servers and collaborated with developers to improve processes
  3. DevOps Engineer

    Codistan VenturesJul 2025Aug 2025
    • Managed AWS infrastructure (EC2, S3, IAM, VPC, Security Groups, and CloudWatch)
    • Containerized applications using Docker
    • Built and maintained CI/CD pipelines with Jenkins and GitHub Actions
    • Monitored systems and configured alerts for uptime and reliability
    • Assisted in Linux server administration, deployment, and troubleshooting
Education
  1. BS in Computer Science

    Institute of Space Technology (IST)Islamabad, Pakistan2021 — 2025
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