Priya Poolapally

About Priya Poolapally

DevOps Engineer with 5+ years of progressive experience across top-tier firms including Microsoft, Goldman Sachs, and Deloitte. Proven expertise in architecting and automating CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, and Terraform. Skilled in cloud infrastructure design and optimization on both AWS and Azure, leveraging tools like AKS, EKS, EC2, and Lambda to ensure scalable, cost-effective solutions. Adept in scripting with Python, Bash, and Ansible for infrastructure automation, configuration management, and system administration. Demonstrated success in reducing release cycles by up to 80%, improving SLA compliance to 99.99%, and cutting cloud costs by over 30% through infrastructure as code and performance tuning. Strong background in monitoring and observability using Prometheus, Grafana, and ELK Stack to enhance reliability and reduce MTTR.

Experience

1. Devops Engineer

   Microsoft

   Jun 2024 — Present · WA, US

   Implemented Agile SRE practices, establishing error budgets and automated incident response workflows that improved system reliability to 99.99% SLA while accelerating feature delivery by 30% through DevOps feedback loops.• Designed end-to-end CI/CD pipelines using Azure DevOps and GitHub Actions, enabling automated builds, testing, and deployments to AKS clusters, reducing release cycles from 3 days to 4 hours while eliminating 70% of manual deployment bottlenecks.• Automated cloud infrastructure management using Python scripts and Ansible playbooks to configure and deploy Azure resources, reducing provisioning errors by 60% and standardizing configurations across 100+ servers. • Engineered Linux-based infrastructure solutions on Azure, optimizing kernel parameters and systemd services to enhance performance by 25% across 80+ production VMs, while hardening security through SELinux policies and automated patch management.• Optimized database performance by implementing Azure Cosmos DB and SQL Database for large-scale data management, designing efficient data models and indexing strategies that reduced query times by 40% while ensuring data consistency.• Reduced manual involvement by 40% and automated routine procedures by streamlining system administration duties with Shell scripting and Bash, improving system stability and minimizing operational downtime.

Education

• Marist University

  Master's degree, Master’s in Computer Science & Software Development

• Vidya Jyothi Institute Of Technology

  Bachelor's degree, Electronics and communication engineering