Devops Engineer with 2+ years in CI/CD, Kubernetes, and AWS Cloud.
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Assessing your cultural and operational fit
Motivated DevOps Engineer with 2 years of experience in infrastructure monitoring, automation, and production operations. Hands-on experience in building CI/CD pipelines, containerization, Kubernetes orchestration, Infrastructure as Code, and AWS cloud services. Skilled in Docker, Kubernetes, Jenkins, Terraform, Ansible, Linux, and Python. Seeking a DevOps Engineer or Cloud Engineer role to contribute to scalable and automated infrastructure solutions.
Vignan Lara Institute of Technology and Science
B.Tech · Computer Science & Engineering
August 1, 2020 – June 30, 2023
Malineni Perumallu Educational Society's Group of Institutions
Diploma
August 1, 2017 – June 30, 2020
BEXPERT SOLUTIONS PRIVATE LIMITED
Devops Engineer
April 1, 2024 – May 1, 2026
India
End-to-End CI/CD Pipeline Jenkins + Docker + AWS
June 29, 2026 – Present
Built an end-to-end CI/CD pipeline using Jenkins to automate the build, test, and deployment process for a Python/Django application. Containerized the application using Docker and managed versioned container images in AWS Elastic Container Registry (ECR). Integrated GitHub Webhooks with Jenkins to automatically trigger pipeline execution on every code commit. Deployed the Dockerized application to AWS EC2, enabling automated and consistent application deployments. Configured Jenkins Declarative Pipelines to automate Docker image build, tagging, and deployment, reducing manual deployment effort and improving release efficiency.
Production-Grade Kubernetes Cluster on AWS using kOps
June 29, 2026 – Present
Provisioned and managed a Kubernetes cluster on AWS EC2 using kOps, configuring master and worker nodes with Auto Scaling Groups. Deployed containerized applications using Deployments, Services, Ingress, ConfigMaps, and Secrets for application deployment and traffic routing. Configured Rolling Updates, ReplicaSets, and Pod Disruption Budgets to support highly available and reliable application deployments. Performed cluster administration using kubectl and kOps, including provisioning, scaling, upgrades, maintenance, and troubleshooting of Kubernetes resources.
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a drive to learn and implement complex systems independently, which is a positive indicator for cultural fit in a dynamic technical environment. The breadth of skills across cloud, containers, CI/CD, and IaC suggests adaptability and a willingness to tackle diverse technical challenges. The alignment of their experience and projects with the target DevOps Engineer role indicates a strong interest and focus in this area.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying new technologies, as evidenced by personal projects. The detailed descriptions of work experience and projects suggest good operational understanding and problem-solving skills in a DevOps context. However, without specific psychometric or English test results, a deeper assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.