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Cloud DevOps Engineer with 1+ years in AWS, Azure and CI/CD automation.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Cloud & DevOps Engineer: DevOps and Cloud Engineer with experience in AWS and Azure cloud systems. Skilled in CI/CD automation and using Docker and Kubernetes to manage and run applications. Experienced in monitoring and logging with Grafana, Prometheus, and Loki to ensure deployments are reliable, scalable, and cost-efficient.
National University of Computer and Emerging Sciences (FAST)
Bachelor of Science · Computer Science
September 1, 2021 – June 1, 2025
CareCloud MTBC
Junior DevOps Engineer
March 1, 2025 – Present
Islamabad, Islamabad Capital Territory, Pakistan
FWS
Software Engineer
November 1, 2024 – June 1, 2025
Wah, Punjab, Pakistan
End-to-End Deployment of a Java-Based Application with Kubernetes & DevOps Toolchain
June 27, 2026 – Present
Built and deployed a production-ready Spring Boot application using Docker and managed it on a 3-node Kubernetes cluster (1 master, 2 workers) set up with Kubespray. Designed and automated CI/CD pipelines with Jenkins, integrating SonarQube, Nexus, and Trivy. Set up monitoring with Prometheus and Grafana. Hosted all DevOps tools on a dedicated VM to keep them reliable and scalable.
End-to-End Deployment of a Multi-Tier Application with Kubernetes & DevSecOps Pipeline
June 27, 2026 – Present
Designed and set up a DevSecOps pipeline to deploy a multi-tier application using Jenkins for CI/CD automation. Added SonarQube, OWASP Dependency Check, and Trivy to ensure secure builds. Configured GitHub webhooks for automatic deployments. Deployed the application on a 2-node Kubernetes cluster set up with Kubespray. Set up monitoring with Prometheus and Grafana, with email alerts to catch issues early.
CI/CD Pipeline for Containerized Application with Kubernetes & Open-Source Tools
June 27, 2026 – Present
Built and deployed a containerized application using Docker and managed it on a 3-node Kubernetes cluster (1 master, 2 workers) set up with Kubespray. Automated CI/CD pipelines with Jenkins and integrated SonarQube, Nexus, and Trivy. Set up GitHub webhooks for continuous integration. Implemented monitoring with Prometheus and Grafana. Used only open-source tools to create a cost-effective, production-ready workflow.
Cultural Fit Analysis
The candidate's project diversity, including personal projects focused on end-to-end deployments with Kubernetes and DevSecOps, aligns well with a culture that values hands-on experience and continuous learning. Their current role as a Junior DevOps Engineer and the target role of Cloud DevOps Engineer show a clear career trajectory and strong alignment. The breadth of skills across various DevOps tools, cloud platforms, and scripting languages indicates adaptability and a willingness to explore different technologies.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through optimizing MongoDB queries and reducing incident detection times. Their experience in coordinating with QA and Linux admin teams, documenting runbooks, and mentoring junior developers suggests good collaboration and communication skills. The focus on automating tasks and improving release cadences indicates a proactive and efficiency-driven work attitude.