Ganesh Kondeti
Trainee DevOps Engineer - Linux Administration & Cloud Monitoring • Hyderabad, India • g***************@gmail.com • +91*******272 • linkedin.com/••••• • drivetube.ai/•••••
Career Objective
Trainee DevOps Engineer with 0-1 years of experience in Linux administration, cloud monitoring, containerization, and infrastructure automation. Hands-on experience provisioning and hardening Linux servers, automating tasks with Bash, building Prometheus/Grafana dashboards and configuring AWS CloudWatch alarms. Practical knowledge of AWS services (EC2, S3, RDS, Lambda, VPC, IAM, DynamoDB, EKS), Docker, Kubernetes, Terraform and Ansible. Seeking an entry-level DevOps/support role in 24x7 operations to improve observability, automate deployments, and reduce incident detection and recovery times.
Education
PRIST University
Bachelor of Technology (B.Tech), Computer Science & Engineering • Thanjavur, India • 2022 – 2026
Technical Skills
Programming Languages: Bash,Shell scripting
Cloud and DevOps: AWS EC2, S3, RDS, Lambda, VPC, IAM, DynamoDB, EKS,Docker,Multi-stage Dockerfiles,Kubernetes rolling updates, rollbacks,Container troubleshooting CrashLoopBackOff, ImagePullBackOff,Jenkins,GitHub triggered pipelines,CI,CD pipeline design,Terraform,Ansible
Tools and Methodologies: Git
Operating Systems & Server Management: Linux RHEL, Ubuntu,Server hardening & baseline configuration
Monitoring & Observability: Prometheus,Grafana,AWS CloudWatch alarms & notifications,Dashboards & alerting
Infrastructure as Code & Automation: Terraform state management S3 backend, DynamoDB locking
Networking & Protocols: TCP,IP,DNS,OSI model
Projects
Centralized Cloud Monitoring & Observability Implementation
Tools Used: Prometheus, Grafana, AWS CloudWatch, Docker, Kubernetes
- Implemented Prometheus-based metrics collection for container and node-level telemetry, enabling centralized scraping of application and node exporters across Kubernetes clusters.
- Designed and built Grafana dashboards to visualize CPU, memory, pod-level metrics and custom application metrics for real-time operational visibility.
- Configured AWS CloudWatch alarms and notification channels to alert on critical infrastructure and cluster events, accelerating detection of cluster-level incidents.
- Diagnosed and resolved container-level issues observed in dashboards, improving mean-time-to-detect for common deployment failures.
Infrastructure as Code (IaC) & Server Configuration Automation
Tools Used: Terraform, Ansible, AWS S3, DynamoDB, Bash
- Provisioned a reproducible multi-tier AWS environment using Terraform, implementing S3 remote backend and DynamoDB state locking for safe team workflows.
- Authored reusable Ansible playbooks and Bash scripts for baseline Linux hardening and configuration, standardizing server builds across environments.
- Automated routine server setup and configuration tasks, reducing manual setup time by approximately 45%.
- Validated IaC runs and environment drift through automated checks and consistent state management to improve deployment reliability.
CI/CD Pipeline for Containerized Microservices Deployment
Tools Used: Jenkins, GitHub, Docker, Kubernetes
- Built a Jenkins-based CI/CD pipeline triggered by GitHub commits to build, test and push Docker images to a registry.
- Created multi-stage Dockerfiles to optimize image layers and reduce build times for microservices.
- Automated Kubernetes deployments with rolling updates and rollback support to enable safe application releases.
- Triaged cluster deployment errors (ImagePullBackOff, CrashLoopBackOff), implemented fixes and documented troubleshooting steps to achieve repeatable deployments.
Certifications
AWS Certified Solutions Architect - Associate — AWS • In Progress
Docker & Kubernetes Essentials
Terraform Associate Training
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