Help & Supportcareers@gravityer.com
Devops Engineer with less than a year in CI/CD & Cloud
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic and detail-oriented fresher DevOps Engineer with solid hands-on experience in building automated CI/CD pipelines, containerizing applications with Docker, and deploying workloads on Kubernetes. Proficient in Linux system administration, Git-based version control, AWS cloud services, Maven build automation, and Jenkins pipeline orchestration. Committed to streamlining software delivery, reducing deployment time, and enabling reliable, scalable infrastructure through DevOps best practices.
Prabhas Degree College, Vijayawada
Bachelor of Business Administration · Business Administration
August 1, 2020 – June 30, 2023
Narayana Junior College, Nellore
Intermediate · Mathematics, Physics & Chemistry
June 1, 2018 – May 31, 2020
Narayana High School, Nellore
Secondary School Certificate
June 1, 2017 – May 31, 2018
Krishna Chaitanya Institute of Science & Technology, Nellore
Master of Computer Applications · Computer Applications
N/A – Present
Automated CI/CD Pipeline for Containerized Application Deployment
January 1, 2026 – June 1, 2026
Built an automated CI/CD pipeline using Jenkins to build, containerize, and deploy applications using Git, Maven, Docker, and YAML configurations — enabling continuous integration and automated deployment with improved efficiency and reliability. Hosted application source code on GitHub with a structured branching strategy (feature, develop, main). Configured GitHub webhooks to automatically trigger Jenkins pipeline on every code commit. Used Apache Maven to compile, test, and package the Java application. Automated unit test execution as part of the build stage to maintain code quality. Designed and configured a Jenkins Declarative Pipeline covering build, test, Docker image creation, and deployment stages. Set up Jenkins Master-Slave architecture for distributed and parallel build execution. Integrated pipeline notifications and build status reporting. Wrote a Dockerfile to containerize the application for environment-independent deployments. Built, tagged, and pushed Docker images to a container registry for version management. Authored YAML manifests for Kubernetes Deployment, Service, and ConfigMap resources. Deployed the containerized application to a Kubernetes cluster using kubectl. Exposed the application externally via a LoadBalancer Service for end-user access. Reduced manual deployment effort significantly by fully automating the software delivery workflow. Achieved consistent, repeatable, and reliable deployments across environments.
Cultural Fit Analysis
The candidate's profile shows a strong focus on a single, well-executed academic project directly aligned with the DevOps Engineer role. This indicates clear career interest and dedication. However, the lack of diverse projects, professional experience, or broader skill sets outside the core DevOps stack limits the assessment of adaptability to different team environments or varied technical challenges. The 'fresher' status means less exposure to diverse team dynamics or corporate cultures.
Soft Skills & Operational Fit
The candidate's project description indicates a detail-oriented approach and a commitment to efficiency and reliability, which are positive indicators for operational fit. The focus on automating workflows suggests a proactive problem-solving mindset. However, without direct interaction or psychometric test results, it's difficult to fully assess soft skills like teamwork, communication under pressure, or adaptability.