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Devops Engineer with less than a year in Cloud & Automation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced in automating AWS infrastructure with Terraform and GitHub Actions for Node.js apps, enabling zero-downtime deployments and reducing manual provisioning time. Proficient in implementing Infrastructure as Code best practices with versioning and modular templates to enhance security and reliability. Skilled in setting up scalable multi-environment Kubernetes deployments using Helm and ArgoCD, and establishing robust monitoring with Prometheus and Grafana for proactive issue resolution.
Bharati Vidyapeeth University
Bachelor Of Computer Applications
August 1, 2022 – June 30, 2025
F13Technologies
AWS Cloud &DevOps Intern
August 1, 2025 – November 1, 2025
India
Self Healing Infrastructure On AWS
June 29, 2026 – Present
High Availability Node.js CI/CD & Auto-Remediation on AWS • Automated production-ready AWS infrastructure with Terraform and GitHub Actions for Node.js apps behind an ALB, reducing manual provisioning time by 40% and enabling zero-downtime deployments. • Implemented Infrastructure as Code best practices with versioning and modular templates to reduce deployment errors, simplify future scaling, and enforced secure access controls for EC2, S3, and IAM roles following least-privilege principles. • Enables Auto Scaling, Lambda remediation, CloudWatch monitoring, and SNS alerts, ensuring high availability and zero downtime deployments. • Streamlined CI/CD pipeline for Node.js apps using Jenkins and GitHub Actions, reducing deployment time by 35% and improving release reliability.
Multi-Environment Cloud Deployment Using Helm & ArgoCD
June 29, 2026 – Present
Scalable Multi-Environment Kubernetes Deployments via GitOps • Implemented automated multi-environment deployments (dev, prod) using Helm and ArgoCD, reducing manual setup time by 50% and improving deployment reliability. • Configured isolated environments with independent replicas,ports, and environments variables, improving stability and resource utilization. • Used Prometheus and Grafana to monitor Kubernetes environments and create easy-to-read dashboards. Set up custom alerts to quickly identify and fix issues. Managed resources efficiently to keep services running smoothly and reliably. • Streamlined Docker image builds and GitOps-driven deployments, reducing release time by 40% and improving deployment reliability.
Cloud Computing
NPTEL
May 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong alignment with modern DevOps practices, including IaC, CI/CD, GitOps, and cloud-native technologies. The focus on automation, efficiency, and reliability aligns well with a culture that values continuous improvement and operational excellence. The diversity of tools and services used (AWS, Docker, Kubernetes, Terraform, ArgoCD, Prometheus, Grafana, Jenkins, GitHub Actions) indicates a willingness to learn and adapt to various technologies, which is beneficial for cultural fit in a dynamic technical environment. However, the experience is primarily personal projects and an internship, which might indicate a need for more exposure to team-based, production-scale challenges.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills (reducing manual setup time, improving reliability, identifying and fixing issues) and a collaborative approach (collaborated with development teams). The focus on automation and efficiency suggests a proactive and results-oriented work attitude. The self-healing infrastructure project indicates an understanding of resilience and high availability, which are critical for operational fit in a DevOps role.