S

Sindhuja Reddy

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Denton, Texas, United States

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Jobs verified_user 0% verified
  • Nvidia
    Senior DevOps Engineer
    Nvidia
    Mar 2024 - Current (2 years 5 months)
    • Developed GPU-accelerated CI/CD pipelines for AI/ML workloads using Kubernetes (K8s) on NVIDIA DGX systems, cutting model training cycle time by 35% through efficient container orchestration and CUDA-aware scheduling. • Engineered a scalable, self-service ML platform using NVIDIA NGC containers, Kubeflow, and Terraform, with Python-based automation tools, enabling 150+ data scientists to deploy GPU-optimized workflows with 90% faster setup time. • Established enterprise-grade MLOps observability using Prometheus, Grafana, and NVIDIA DCGM, ensuring 99.99% uptime for AI inference pipelines across hybrid infrastructure. • Led the modernization of legacy HPC workloads by migrating to GPU-accelerated Kubernetes clusters, lowering infrastru
  • SAP
    DevOps Engineer
    SAP
    Jan 2023 - Feb 2024 (1 year 2 months)
    • Directed Azure DevOps Pipelines for SAP BTP (Business Technology Platform), automating deployments for 50+ microservices, reducing release cycles from 2 hours to 15 minutes, and enabling zero-downtime blue-green deployments. • Implemented GitOps with ArgoCD and Flux for declarative Kubernetes deployments on Azure AKS, improving rollback success rates by 90% and ensuring compliance with SAP's internal security policies. • Designed a cost-optimized multi-cloud monitoring solution using Azure Monitor, Dynatrace, and OpenTelemetry, cutting cloud spend by 25% while maintaining 99.95% SLA for critical SAP applications. • Automated database CI/CD pipelines for SAP HANA using Flyway and Kubernetes operators, reducing schema migration time by
  • Cisco Systems
    DevOps Engineer
    Cisco Systems
    Mar 2018 - Oct 2021 (3 years 8 months)
    • Automated CI/CD pipelines using Jenkins, reducing deployment time by 40% and enabling 200+ weekly builds, while integrating SonarQube and Ansible for code quality and configuration management. • Deployed and managed Kubernetes clusters on AWS, optimizing scalability and cutting infrastructure costs by 30% through auto-scaling and containerization with Docker. • Orchestrated infrastructure automation using Terraform and AWS CloudFormation, slashing provisioning time by 60%, while ensuring configuration consistency across 100+ servers via Ansible. • Boosted system reliability by implementing Python-powered monitoring automation with Prometheus, Grafana, and ELK Stack, reducing MTTR by 35% while maintaining 99.9% uptime. • Enhanced secu
Education verified_user 0% verified
  • Wichita State University
    Master's in Computer Science
    Wichita State University
  • Jawaharlal Nehru Technological University
    Bachelor of Technology
    Jawaharlal Nehru Technological University