Devops Engineer with less than a year in Cloud & DevOps Automation.
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Assessing your cultural and operational fit
Cloud & DevOps Engineer skilled in Linux, AWS (EC2, S3, VPC, IAM), CI/CD automation (Jenkins, GitHub Actions), Docker, Kubernetes, and Terraform. Experienced in monitoring using Prometheus, Grafana, and AWS CloudWatch, focused on building scalable and secure cloud infrastructure.
St Aloysius College
Master of Computer Application
August 1, 2022 – June 30, 2024
ITM College of Art and Science
Bachelor of Physics
August 1, 2018 – June 30, 2021
Rogersoft Technologies Pvt Ltd
Python Developer Intern
April 1, 2024 – August 1, 2024
Cochin, Kerala, India
Multi-Environment CI/CD Pipeline (Dev → Test → Prod)
June 14, 2026 – Present
Designed and implemented a Jenkins CI/CD pipeline to automate build, code quality analysis, containerization, and Kubernetes deployment. Integrated Maven builds and SonarQube Quality Gates to enforce code quality checks before deployments. Containerized a Spring Boot application using Docker and pushed versioned images to DockerHub. Implemented multi-environment Kubernetes deployment (DEV, TEST, PROD namespaces) with promotion gates and secured access using Kubernetes RBAC (ServiceAccounts, Roles, RoleBindings).
Scalable Microservices Deployment on AWS EKS
June 14, 2026 – Present
Provisioned AWS infrastructure (VPC, EKS cluster, Load Balancer) using Terraform Infrastructure as Code. Containerized a Spring Boot microservice using Docker and automated builds using Maven. Built a GitHub Actions CI pipeline to build Docker images and push them to Amazon ECR. Deployed workloads to Amazon EKS using Kubernetes manifests (Deployment, Service, Ingress) with Horizontal Pod Autoscaling and monitoring via Prometheus and Grafana.
Full-Stack Application Deployment with Docker & CI/CD
June 14, 2026 – Present
Containerized Django backend and React frontend using Docker with multi-stage builds. Used Docker Compose to orchestrate services and enable frontend-backend communication. Built a GitHub Actions CI/CD pipeline to automatically build and push Docker images. Provisioned a cloud VM using Terraform and deployed the application with secure networking and container security best practices (non-root users, environment configuration).
Euron-Al Chatbot
June 14, 2026 – Present
Developed a responsive mental health assistant using FastAPI and React-Bootstrap, implementing JWT authentication and CORS middleware to ensure secure communication between the decoupled frontend and backend. Integrated Large Language Models (LLMs) via the Groq API to provide context-aware support, while architecting a Supabase (PostgreSQL) database schema to persist user chat history
Cultural Fit Analysis
The candidate's projects showcase a diverse set of technologies and problem domains, from multi-environment CI/CD to scalable microservices and full-stack application deployment. This breadth, combined with an academic project involving LLMs, suggests adaptability and a willingness to explore new areas. The focus on industry-standard tools like AWS, Kubernetes, Docker, and Terraform aligns well with typical enterprise DevOps environments, indicating a good cultural fit for modern engineering teams.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong focus on automation, scalability, and security, which are critical for a DevOps Engineer role. The detailed descriptions of CI/CD pipelines and infrastructure provisioning suggest a methodical and problem-solving approach. While direct soft skill assessment is not possible from the provided data, the project outcomes imply good operational fit.