Ganesh Jadhawar
Senior DevOps Engineer @ NVIDIA | AI Infrastructure • GPU Kubernetes • Terraform • AWS • Azure • GCP • OCI
- Role
- Senior Devops Engineer Applied Ai App Engineering & Infra at NVIDIA
- Location
- Pune Division, MH, IN
- LinkedIn followers
- 500 followers
About Ganesh Jadhawar
Senior DevOps Engineer at NVIDIA, building and operating large-scale AI infrastructure across AWS, Azure, GCP, and Oracle Cloud. I specialize in Kubernetes, GPU workloads, CI/CD automation, and Infrastructure as Code (Terraform) for AI and machine learning platforms.I design and automate end-to-end AI application platforms — from provisioning GPU-based cloud infrastructure to deploying, scaling, and securing containerized AI workloads using Helm, Kubernetes, GitLab CI, GitHub Actions, Jenkins, and HashiCorp Vault.I have supported platforms running hundreds of AI workloads and GPU jobs, enabling faster model delivery, safer releases, and highly reliable AI environments used by engineering and research teams.At NVIDIA, I work on:Multi-cloud GPU infrastructureAI model deployment & benchmarking pipelinesRelease readiness and artifact security automationSelf-hosted Kubernetes-based CI runners for AI workloadsWith 10+ years of experience, I bring a strong blend of Linux, cloud, automation, and platform engineering, enabling organizations to ship secure, scalable, production-grade AI systems.Core Skills:Kubernetes • Docker • Terraform • GPU infrastructure • GitLab CI • GitHub Actions • Azure DevOps • Helm • Bash • Python • AWS • Azure • GCP • OCI • Vault • Prometheus • Grafana
Experience
Senior Devops Engineer Applied Ai App Engineering & Infra
Jan 2024 — Present · Pune, IN
Architecting and managing multi-cloud AI infrastructure across AWS, Azure, GCP, and Oracle Cloud using Terraform (IaC)- Built a Release Readiness Automation platform that moves AI artifacts between registries and automatically generates security and compliance reports- Built automated AI model benchmarking pipelines used to validate performance of models across GPU types and cloud environments- Deploying and operating AI applications on Kubernetes GPU clusters using Helm- Designed secure CI/CD pipelines using GitLab CI, GitHub Actions, and Jenkins, with secrets management via HashiCorp Vault- Designed and operated auto-scaling Kubernetes-based CI runners, reducing pipeline wait time and supporting GPU-heavy AI builds at scale- Leveraging AI developer tools (Cursor, Perplexity) to accelerate infrastructure automation and troubleshooting.
Education
Smt.kashibai Navale College of Engineering,Pune
Bachelor’s Degree, Electronics and Telecommunications
2011 — 2015
Savitribai Phule Pune University
Bachelor's degree, Electronics and telecommunication
2011 — 2015
Skills
- Management
- Ccna
- Ccna
- Product Management
- Teamwork
- Team Management
- Leadership
- Training
- Wireless
- Unix Shell Scripting
- Sql
- Linux
- Mysql
- Business Development
- Unix Shell Scripting
- Telecommunications
- Red Hat Certified Engineer (Rhce)
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