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Devops Engineer with less than a year in Linux & Cloud Computing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented Computer Science graduate with a strong foundation in Linux, cloud computing, and automation tools. Seeking an entry-level DevOps position to apply my skills in CI/CD pipelines, containerization, and cloud infrastructure management.
Sri Venkateshwara University
B.Sc. · Computer Science
August 1, 2020 – June 30, 2023
Automated Deployment Pipeline using Jenkins and Docker
January 1, 2023 – December 31, 2023
Configured a Jenkins pipeline to automate code testing and deployment. Built Docker images and deployed applications in containers.
AWS Cloud Hosting Project
January 1, 2023 – December 31, 2023
Deployed a static website on AWS S3 and configured CloudFront for CDN. Set up IAM roles and policies for secure access management.
Infrastructure Automation using Terraform
January 1, 2023 – December 31, 2023
Created AWS EC2 instances using Terraform scripts for repeatable infrastructure setup.
AWS Certified Cloud Practitioner (Beginner Level)
AWS
January 1, 2023 – Present
Docker Essentials
Coursera
January 1, 2023 – Present
Linux Foundation Training
Linux Foundation
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in core DevOps areas like CI/CD, cloud hosting, and infrastructure as code. The certifications further support a proactive learning culture. However, the lack of professional experience means there's no direct evidence of cultural fit within a team or organization. The projects are diverse enough to show breadth in foundational DevOps concepts, which aligns with an entry-level role.
Soft Skills & Operational Fit
The candidate lists problem-solving, team collaboration, time management, and quick learning as soft skills. These are generally positive for operational fit, but without practical experience or interview validation, their application in a professional setting is unproven. The academic project descriptions suggest some level of independent work and task completion.