Nikitha Alugubelly

About Nikitha Alugubelly

Senior DevOps Engineer with 5+ years of experience architecting, automating, and managing cloud-native infrastructures on AWS, Kubernetes (EKS), and multi-region deployments, delivering high availability, scalability, and cost optimization for leading tech organizations (Netflix, Amazon, IBM).• Expertise in Python-based automation, Ansible, CI/CD pipelines, Infrastructure-as-Code (Terraform, AWS CDK, CloudFormation), and SRE best practices, achieving up to 75% faster deployments, 45% fewer production incidents, and $100K+ annual cloud cost savings.• Proven ability to implement monitoring, observability, and logging solutions (Prometheus, Grafana, OpenTelemetry, ELK Stack), enforce DevSecOps and security hardening practices, and build AI-powered troubleshooting assistants to improve MTTR, system reliability, and operational efficiency in enterprise-scale, high-traffic environments.

Experience

1. Devops Engineer

   Netflix

   Jun 2024 — Present · CA, US

   Architected and deployed a scalable microservices platform on Kubernetes (EKS) with an Istio service mesh, improving system reliability by 40% through enhanced traffic routing, observability, and resilience.• Implemented Site Reliability Engineering (SRE) best practices, defined SLIs/SLOs for mission-critical services, automated error-budget rollback policies, cutting production incidents by 45% while ensuring 99.99% uptime.• Engineered an LLM-powered operations assistant using OpenAI API, Python, and AWS Lambda, automating 40% of routine troubleshooting tasks, reducing MTTR by 55%, and improving on-call efficiency.• Developed Python-based infrastructure automation tools with AWS CDK, Terraform, and CloudFormation, reducing cloud provisioning time by 65% and enabling self-service deployments for engineering teams.• Automated configuration management for 500+ EC2 instances using Ansible, standardizing builds, reducing deployment drift incidents by 60%, and enabling faster environment scaling.• Designed and deployed a cloud-native monitoring and alerting stack with Prometheus, Grafana, and OpenTelemetry, decreasing incident detection time by 80% through custom metrics and SLO-based alerting.• Built end-to-end CI/CD pipelines with GitHub Actions and ArgoCD, automating build, testing, and production deployments, resulting in a 75% reduction in release cycles and improved deployment reliability.• Led cross-functional Agile ceremonies (sprint planning, retrospectives) collaborating with ML, Data Science, and Engineering teams, streamlining model deployment pipelines and reducing deployment bottlenecks by 50%.

Education

• Sreenidhi Institute of Science and Technology

  Bachelor of Technology - BTech

  2016 — 2020

• University of Cincinnati

  Masters in information technology

  2023 — 2024