Anurag Guda
Sr. DevOps Technical Engineer at NVIDIA
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolAnurag Guda is a Senior DevOps Technical Engineer with nine years of experience designing and operating cloud-native container platforms, currently driving platform reliability at NVIDIA from Austin. He specializes in Kubernetes, OpenShift, Docker and EFK logging, and combines hands-on automation with Ansible, Terraform, Puppet, and Python/Shell scripting to deliver repeatable CI/CD and cloud operations. Prior roles at Cisco involved migrating OpenShift versions, implementing blue/green deployments, and integrating platforms with monitoring tools like AppDynamics and Grafana for 24/7 production support. His background includes application server administration (Tomcat, JBoss), platform architecture on AWS, and a practical blend of development and operations from earlier web-application work. Holding an MS in Engineering Technology, he brings both systems-level depth and an operator’s mindset for building resilient, observable platforms. An unexpected strength is his cross-disciplinary experience in SEO/analytics early in his career, giving him a pragmatic appreciation for user-facing metrics and performance.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Technology, Electrical, Electronics and Communications Engineering, Bachelor of Technology, Electrical, Electronics and Communications Engineering at Auroras Engineering collegeMaster of Science - MS, Engineering Technology, General, 3.3, Master of Science - MS, Engineering Technology, General, 3.3 at Murray State University
English, Telugu, Hindi
Stackoverflow
11reputation
12kreached
1answer
0questions
Github Skills (55)
flask-mysql10
nvidia10
gpu10
cuda10
cloud-native10
docker-image9
nvidia-docker9
fabric9
subnet9
docker8
network8
operator8
python-docker8
flask-application8
amazon-web-services8
Programming languages (8)
Github contributions (5)
NVIDIA/fleet-command
Jun 2021 - Jul 2022
Contributions:5 commits, 1 push in 1 year 1 month
NVIDIA/cloud-native-stack
Oct 2020 - Dec 2022
Run cloud native workloads on NVIDIA GPUs
Contributions:8 releases, 3 reviews, 141 commits in 2 years 2 months
cudanvidiaworkloadsgpucloud-run
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