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Devops Engineer with 1+ years in CI/CD & Cloud Deployment
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A DevOps Engineer with a solid foundation in CI/CD, infrastructure automation, and cloud-based deployment. Passionate about streamlining development workflows, enhancing system reliability, and accelerating delivery cycles. Experienced with tools like Docker, Kubernetes, Jenkins, and cloud platforms such as AWS. Known for quick learning, strong collaboration across teams, and a commitment to delivering efficient, scalable, and maintainable DevOps solutions.
LEC MORBI
B.E. · Information & Technology
August 1, 2021 – June 30, 2025
AASHTHA SCHOOL
12TH SCIENCE
June 1, 2021 – May 31, 2021
ADARASH SCHOOL
10TH
June 1, 2019 – May 31, 2019
ESPARKBIZ
DEVOPS ENGINEER
January 1, 2025 – Present
India
Hospital Management System (AWS-Based Microservices Deployment)
January 1, 2025 – Present
Designed and deployed a scalable Hospital Management System using AWS cloud services and containerized architecture. Hosted frontend on Amazon S3 and distributed via CloudFront CDN for high availability and low-latency access. Deployed backend services on Amazon ECS using Docker containers, ensuring scalability and efficient resource utilization. Used Amazon RDS as the managed relational database for reliable and secure data storage. Implemented secure configuration management by integrating AWS Secrets Manager for environment variables and sensitive data. Developed scheduled background jobs using AWS Lambda triggered by Amazon EventBridge (cron scheduling). Built end-to-end CI/CD pipeline using GitHub Actions, automating Docker image build, push to Amazon ECR, and deployment to ECS.
AI Agent Platform (Multi-Service Scalable Architecture)
January 1, 2025 – Present
Designed and deployed a scalable AI Agent Platform supporting multiple independent AI services. Managed 6 ECS clusters, each running dedicated AI agent workloads, ensuring modular and scalable architecture. Hosted frontend using AWS Amplify for seamless CI/CD integration and fast global delivery. Deployed backend services on Amazon ECS (Dockerized containers) with images stored in Amazon ECR. Used Amazon RDS as the primary database for reliable and managed data storage. Built and maintained CI/CD pipelines using GitLab, automation. Configured development environment on EC2 using Docker and NGINX reverse proxy for routing and service management.
Cultural Fit Analysis
The candidate's projects demonstrate a strong alignment with modern DevOps practices, focusing on cloud-native deployments, automation, and microservices. The use of a diverse set of industry-standard tools (AWS, Docker, Kubernetes, Terraform, Jenkins, GitLab CI, GitHub Actions, Prometheus, Grafana) indicates a willingness to learn and adapt to various technological stacks, which is a positive cultural fit for an evolving tech environment. The personal projects show initiative and a proactive approach to learning and applying new technologies. However, the candidate's experience level (starting a full-time role in Jan 2025 while still pursuing a bachelor's degree) suggests a very early career stage, which might require more mentorship and structured guidance in a senior role.
Soft Skills & Operational Fit
The candidate highlights soft skills such as being a quick learner, collaborative team player, strong problem-solving abilities, and high attention to detail. These traits are crucial for a DevOps role, which often requires cross-functional collaboration and continuous problem-solving in dynamic environments. The project descriptions indicate an operational fit through hands-on deployment and management of cloud infrastructure and CI/CD pipelines.