Production Support Engineer with 4+ years of experience supporting enterprise Java applications in production environments.
Currently working with:
- Java Applications
- RHEL Linux Servers
- Kubernetes
- Incident Management
- Production Monitoring
- Root Cause Analysis (RCA)
- Deployment Support
I am currently building expertise in DevOps, Cloud Engineering, Automation, and AI-powered Operations through hands-on projects and continuous learning.
- Incident Management
- Problem Management
- Root Cause Analysis
- Application Monitoring
- Change & Release Management
- Stakeholder Communication
- Java
- RHEL Linux
- Kubernetes
- Git & GitHub
- Shell Scripting
- Docker
- Jenkins
- Terraform
- Google Cloud Platform (GCP)
- CI/CD
- DevOps Automation
- AI for DevOps
- Linux Administration
- Git & GitHub
- Shell Scripting
- Docker
- Kubernetes
- Jenkins
- Terraform
- GCP
- CI/CD Pipelines
- AI-Powered Operations
Linux administration notes, troubleshooting commands, process management, networking, and system administration concepts.
Automation scripts for monitoring, log cleanup, backups, and health checks.
Branching strategies, rebasing, cherry-picking, merge conflict resolution, and Git workflows.
Hands-on Kubernetes deployments, services, ConfigMaps, Secrets, and troubleshooting exercises.
Weekly progress, notes, labs, and project documentation throughout my DevOps transition.
To transition from Production Support into DevOps Engineering by developing strong skills in automation, cloud platforms, containerization, infrastructure as code, and platform engineering.
- LinkedIn:
- GitHub: