About

Vaibhav Chopra is an engineering leader with over 12 years of experience in software development and 5 years of leadership experience. He is currently working at Expedia Group as a DevOps/Platform Site Leader and Senior SDE Manager. Vaibhav is a passionate leader who has built and driven a software delivery unit, responsible for building a Kubernetes-based production-grade platform as a product for running thousands of complex apps leveraging technological breadth of cut-edge DevXOps stack, K8s, MLOps, Multi, and Hybrid Cloud. Vaibhav has a proven track record for program and people management with technical competence. He is an agile enthusiast and wears hats of Technology Mentor, Engineering and Product leader, and Strategist. He has represented as an Open source Community speaker from Orange/Amdocs for ONAP, CNTT & CNCF. Vaibhav has built a Unified Containerized Platform to host 10k+ applications of Expedia group driving cross-geography team being a Platform Engineering leader from India. He has also built Orange Telco Cloud Platform with DevOps/SRE/MLOps capabilities, growing the team from 5 to 30 in 2019-20. Vaibhav has led and contributed to the Linux Foundation Open-source project ONAP with DevOps (k8s dev) team of 7 in 2017-18. He has also built DevOps Pipelines for Amdocs Telco Cloud services, starting with IC to 5 in 2017. Vaibhav is a public speaker at multiple tech conferences about DevOps/SRE and Agile. He has written blogs having more than 50k views on medium and is also working as an editor capacity from EG. He has contributed to a book titled "Google Cloud DevOps Engineers" available worldwide. Vaibhav has a technical background in coding/scripting in C, C++, Python, Groovy, Bash, automation/CI-CD in Spinnaker, Jenkins, Ansible, Heat, Helm, Chef, Puppet, Terraform, Robot, Foreman, containerization in Docker, Kubernetes, Rancher, monitoring in Datadog, Prometheus, Grafana, Zenoss, Zabbix, Nagios, ELK, Consul, Heapster, cloud in AWS, GCP, Openstack, VMware, and ML in Regression/Classification Algo, Big data, Jupyter, Oct