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Abhay Thakur

@abhaythakur2

DevOps Engineer at Jio Platform Limited who automated Kubernetes installation and prechecks with a web-based platform.

At Jio Platform Limited, I set up and managed on-premise Kubernetes clusters on Ubuntu, including GPU-enabled clusters supporting ML workloads for the JIVA project.

I designed Azure DevOps pipelines for 30+ microservices and deployed containerized applications on Kubernetes. I also upgraded GitLab CE with zero data loss and set up monitoring with Prometheus, Grafana, and the ELK stack.

For my web-based Kubernetes deployment and precheck automation platform project, I used React, Node.js, MySQL, Python, and Ansible to automate system validation and cluster deployment. I also developed a centralized observability dashboard for monitoring Tableau Server clusters.

Experience

Work history, roles, and key accomplishments

Current

DevOps Engineer

Current

Jio Platform Limited

Dec 2021 - Present (4 years 10 months)

Managed on-premise Kubernetes clusters and implemented CI/CD pipelines for 30+ microservices. Configured GPU-enabled clusters for ML workloads and enabled monitoring with Prometheus, Grafana, and ELK stack.

Kubernetes Docker Kubeadm HPA Istio NVIDIA Device Plugin Azure DevOps ArgoCD Jenkins Prometheus Grafana ELK Stack Gitlab Ansible BASH Python YAML MySQL MongoDB Tableau

Education

Degrees, certifications, and relevant coursework

BITS Pilani

Master of Technology, Software Systems

2022 - 2026

Grade: 8.18 CGPA

Completed Master of Technology in Software Systems with a CGPA of 8.18. Project focused on web-based Kubernetes deployment and precheck automation platform.