Nithish M

About Nithish M

Senior DevOps and Site Reliability Engineer with 12+ years of experience designing, automating, and managing scalable, secure, and highly available cloud infrastructure across AWS and Azure environments. Proven expertise in building resilient enterprise platforms that support high availability, automated failover, and cost-efficient production operations.Strong background in Infrastructure as Code (Terraform, CloudFormation), CI/CD automation (Jenkins, Azure DevOps, AWS CodePipeline), and container orchestration using Docker and Kubernetes. Experienced in designing and deploying cloud-native architectures that improve deployment velocity, enhance system reliability, and reduce operational overhead.Hands-on experience implementing monitoring and observability solutions using CloudWatch, Prometheus, Grafana, Splunk, and Dynatrace to ensure proactive alerting, improved visibility, and rapid incident response. Applied Site Reliability Engineering (SRE) principles to strengthen system stability, reduce mean time to recovery (MTTR), and meet defined RTO and RPO objectives.Demonstrated ability to lead cloud migration initiatives, implement governance and security best practices (IAM, VPC, RBAC), and standardize infrastructure automation across multi-account enterprise environments. Passionate about building robust, automated, and secure cloud platforms that enable teams to deliver software faster and more reliably.

Experience

1. Sr Devops Engineer Sre

   UPMC

   Sep 2022 — Present · Pittsburgh, PA, US

   Architected and deployed highly available AWS infrastructure using EC2, ELB, Auto Scaling, and RDS, maintaining 99.9% production uptime across mission-critical applications.• Implemented Infrastructure as Code using Terraform and CloudFormation, reducing manual provisioning efforts by approximately 60% and standardizing multi-environment deployments.• Designed and optimized CI/CD pipelines using Jenkins and AWS CodeDeploy, decreasing release cycle time by 40% while minimizing deployment failures.• Led migration of on-premises virtual machines to Azure using Azure Site Recovery, accelerating cloud modernization and strengthening disaster recovery capabilities.• Built centralized monitoring and alerting solutions using CloudWatch, Prometheus, and OpsGenie, reducing incident detection time from 30 minutes to under 5 minutes and improving response efficiency.• Managed containerized workloads using Docker and Kubernetes, enhancing scalability, high availability, and resource optimization across production clusters.• Strengthened cloud security posture by implementing IAM governance, VPC segmentation, and role-based access controls aligned with enterprise compliance standards.• Automated operational workflows using Bash, Python, YAML, and PowerShell, significantly reducing repetitive manual tasks and improving overall operational efficiency.

Education

• Cleveland State University

  Master's degree, Masters in Information Systems