DevOps Engineer

I design and deploy end-to-end AWS cloud infrastructure for small-scale production workloads using Terraform. I build automated CI/CD workflows with Jenkins, Docker, and Kubernetes to support build, test, and deployment processes.

I containerize applications and deploy them to Kubernetes clusters to improve scalability and deployment consistency. I implement Prometheus and Grafana monitoring and alerting, troubleshoot production issues such as CPU spikes, pod restarts, and deployment failures, and reduce cloud costs by approximately 20% through right-sizing and cleanup.

I designed scalable infrastructure using Terraform, reducing manual provisioning effort by 40%. I built and maintained Jenkins CI/CD pipelines and Azure Classic Pipelines, reducing deployment time by approximately 60% and improving release reliability.

I containerized applications with Docker and orchestrated deployments through Kubernetes for scalable microservices. I managed AWS and Azure environments with 99.9% uptime, implemented Prometheus and Grafana monitoring, and resolved production issues across application, infrastructure, and networking layers.

I developed and optimized Docker images to improve deployment consistency across environments. I authored and managed Kubernetes manifests to enable efficient application and service orchestration.

I built Jenkins-based CI/CD pipelines to automate deployments and reduce manual intervention. I also resolved production incidents through systematic debugging, improving issue-resolution time by 20%, and conducted cross-platform testing across AWS and Azure environments.

I monitored production systems using AWS CloudWatch to maintain application performance and availability. I supported release deployments, patching, environment stability, and resolution of application and infrastructure issues in production environments.

I managed and troubleshot Linux-based systems to reduce downtime and improve operational efficiency. I also built Jenkins CI/CD pipelines that reduced release time from two hours to 20 minutes and enabled zero-downtime deployments.

Bachelor of Technology in Computer Science.