Senior DevOps Engineer AWS, Kubernetes, Terraform

CAREER SUMMARY:

Results-driven DevOps Engineer with practical experience in designing and deploying

scalable cloud infrastructure using AWS. Skilled in containerization (Docker), orchestration

(Kubernetes), CI/CD automation (Jenkins), and Infrastructure as Code (Terraform). Strong knowledge of Linux systems, Git workflows, load balancing, and high availability architecture Focused on building secure, resilient, and production-grade systems for large-scale applications.

Cloud Platforms:

DevOps Tools:

Infrastructure as Code (IaC):

Version Control & Collaboration:

CI/CD:

Operating Systems:

Monitoring & Logging:

Networking & Concepts:

AWS(EC2,S3,IAM,VPC,CloudWatch, ELB)

Docker, Kubernetes, Jenkins

Terraform

Git,GitHub,GitBranchingStrategy, Pull Requests

JenkinsPipelines,AutomatedBuild & Deployment

Linux(Ubuntu, BasicShellCommands)

Prometheus, Grafana,AWSCloudWatch

TCP/IP,Load Balancing,HighAvailability, SDLC

Vaishnavi Survase

Barshi, Maharashtra, India

Phone: +91-922*******

Email: *******************@*****.***

GitHub: github.com/vaishnavisurvase36

Devops tools

AWS

Docker

Kubernetes

Terraform

Jenkins

Linux

CI/CD

Git

Monitoring

Technical skills

Tech Stack: Prometheus, Grafana, AWS CloudWatch

Implemented monitoring using Prometheus and Grafana dashboards. Configured CloudWatch alarms for CPU, memory, and network metrics. Set up centralized logging for application troubleshooting. Improved system visibility and reduced incident response time. Certifications

AWS CertifiedCloud Practitioner

DevOps Foundation Certification

Linux Administration Certification

Education

Developed and containerized microservices using Docker. Deployed application on Kubernetes cluster.

Configured ReplicaSets, Services, and Horizontal Pod Autoscaler. Implemented rolling updates and zero-downtime deployments. Troubleshot pod failures and networking issues.

DevOps Project: Monitoring & Logging System using Prometheus, Grafana and AWS CloudWatch

Monitoring & Logging System

Infrastructure as Code Automation Project

Tech Stack: Docker, Kubernetes, AWS EC2, Linux

Project: Microservices Deployment on Kubernetes Cluster Project:AWS Infrastructure AutomationusingTerraform Tech Stack: AWS, Terraform, Linux, Git

Automated provisioning of AWS infrastructure using Terraform. Created reusable Terraform modules for EC2, S3, IAM, and VPC. Implemented remote backend with state locking.

Designed secure IAM roles and policies.

Improved infrastructure deployment consistency and reliability. Kubernetes Microservices Deployment

Bachelor of Technology (B.Tech) – Civil Engineering 2024

Designed and implemented end-to-end CI/CD pipeline using Jenkins for automated build, test, and deployment. Containerized application using Docker and deployed on Kubernetes cluster. Provisioned AWS infrastructure (EC2, VPC, IAM, Load Balancer) using Terraform. Configured Kubernetes Pods, Services, and Ingress for scalable deployment. Implemented Git branching strategy and pull request workflow. Enabled High Availability and Load Balancing for production-like environment. Reduced deployment time by 60% through automation.

Tech Stack: AWS, Jenkins, Docker, Kubernetes, Git, Terraform, Linux Project: Cloud-NativeCI/CDDeploymentSystem

End-to-End CI/CD Pipeline with AWS & Kubernetes (Production Level) PROJECTS:

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