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Cloud DevOps Engineer with 1+ years in AWS & Cybersecurity.
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Assessing your cultural and operational fit
Cloud Engineer with a BCA in Cloud Computing and Cybersecurity, focused on designing, deploying, and managing scalable infrastructure on AWS. Hands-on experience with EC2, S3, IAM, VPC, Auto Scaling, and Glue, along with Linux-based systems and networking fundamentals. Skilled in implementing IAM roles and security best practices, managing cloud resources, and optimizing performance and cost. Working knowledge of Docker, Kubernetes, Jenkins, and CI/CD pipelines to support automated deployments. Actively pursuing AWS Cloud Practitioner certification. Seeking an entry-level Cloud Engineer role to contribute to cloud infrastructure design, automation, and operations.
Marathwada Mitra Mandal's College of Science, Pune
Higher Secondary Certificate (HSC)
June 1, 2026 – May 31, 2023
Sri Balaji University, Pune
Bachelor of Computer Application (BCA) · Cloud Computing & Cybersecurity
August 1, 2023 – June 30, 2026
CodingEra Software Pvt Ltd
Cloud Application Developer Intern
April 1, 2025 – Present
Pune, Maharashtra, India
Scalable 3-Tier Web Application Deployment on AWS
June 1, 2026 – June 1, 2026
Designed and deployed a highly available 3-tier architecture on AWS with a presentation layer (EC2 + Load Balancer), application layer (EC2 Auto Scaling Group), and database layer (Amazon RDS). Configured an Application Load Balancer with Auto Scaling to distribute traffic across multiple EC2 instances, improving fault tolerance and ensuring 99.9% uptime under simulated load. Implemented custom VPC with public and private subnets, security groups, and IAM roles to isolate application tiers and enforce least-privilege access control. Provisioned Amazon RDS (MySQL) in a private subnet with automated backups and Multi-AZ failover for database resilience and disaster recovery. Hosted static assets on Amazon S3 with CloudFront-ready configuration, reducing application server load and improving page response time.
End-to-End CI/CD Pipeline with Jenkins, Docker & Kubernetes
June 1, 2026 – June 1, 2026
Built a fully automated CI/CD pipeline using Jenkins to build, test, and deploy a containerized application on every GitHub commit, eliminating manual deployment steps. Containerized the application using Docker with multi-stage builds, reducing image size and standardizing the runtime environment across development and production. Deployed containerized workloads to a Kubernetes cluster using Deployment and Service manifests, enabling rolling updates and zero-downtime releases. Configured Jenkins pipeline stages (build, test, Docker image push to DockerHub, Kubernetes deployment) using a declarative Jenkinsfile for repeatable, version-controlled automation. Implemented Kubernetes health checks (liveness and readiness probes) and replica sets to ensure self-healing and high availability of deployed pods.
AWS Cloud Practitioner (CLF-C02)
Amazon Web Services
June 1, 2026 – Present
AWS Solutions Architect Associate (SAA-C03)
Amazon Web Services
June 1, 2026 – Present
Cybersecurity & VAPT Fundamentals
Unknown
June 1, 2026 – Present
Achieved a perfect score (8/8 points), indicating a strong grasp of the core concepts and practical application of Terraform for AWS infrastructure provisioning as per the test's scope.
Strengths
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to learning and applying cloud and DevOps technologies. The focus on personal projects like 'Scalable 3-Tier Web Application Deployment on AWS' and 'End-to-End CI/CD Pipeline with Jenkins, Docker & Kubernetes' shows a strong interest and self-driven learning in the target role's domain. The internship experience further solidifies practical application in a professional setting. The breadth of skills across AWS, Docker, Kubernetes, Jenkins, and scripting languages indicates adaptability and a willingness to embrace diverse technologies, which is positive for cultural fit in a dynamic DevOps environment. The pursuit of certifications also reflects a growth mindset.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience highlight collaboration with development teams, working in an Agile environment, and troubleshooting infrastructure issues, indicating a good operational fit. The psychometric test score (366/500) suggests reasonable logical reasoning and work attitude, though specific details on stress handling and team collaboration are not explicitly detailed in the provided data.
Limitations