03/18/2026 updated


100 % available
DevOps Engineer with Kubernetes and AWS Infrastructure Expertise
Pune, India
Worldwide
B.Tech in Computer EngineeringAbout me
DevOps Engineer skilled in Kubernetes, Terraform, and AWS, with hands-on experience in CI/CD, automation, and observability. I focus on self-managed infrastructure, solving complex system challenges, and building scalable, reliable, and cost-efficient cloud-native solutions.
HTMLJava (Programming Language)PHPAmazon Web ServicesAmazon S3AutomationBash ShellBootstrap (Software)Cascading Style Sheets (CSS)Cloud ComputingProgram OptimizationComputer ProgrammingDatabasesContinuous IntegrationDevOps
Container Orchestration & Infrastructure:
Kubernetes cluster management, Docker containerization, and Terraform-based AWS infrastructure with expertise in self-managed environments.
CI/CD & Automation:
Design and implementation of CI/CD pipelines using Jenkins and GitHub Actions, including OIDC authentication and automated deployments.
Cloud & Observability:
AWS infrastructure optimization, ELK stack for centralized logging, and Prometheus-Grafana for monitoring and alerting.
Programming & Scripting:
Python, Java, and Bash for automation and system operations.
Web Technologies:
HTML, CSS, Laravel, Flask, and Bootstrap for application development.
Databases & Tools:
MySQL, Git version control, and VMware.
Performance & Security:
Performance benchmarking (CPU, memory, IOPS), Terraform state management with S3 and DynamoDB, and secure infrastructure provisioning.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishFluent
Project history
Designed and implemented CI/CD pipelines using Jenkins and GitLab CI across SIT, UAT, and Production environments. Built and managed ELK stacks for centralized logging and monitoring in UAT and Production.
Architected and managed highly available, multi-AZ AWS infrastructure using Terraform. Built modular Terraform architecture, reducing code duplication by 40%. Implemented secure Terraform state management using S3 and DynamoDB.
Built and operated self-managed Kubernetes clusters, avoiding managed K8s services. Automated cluster provisioning and lifecycle management using Ansible. Improved CI/CD reliability by resolving infrastructure-level failures and optimizing deployment workflows.