Revathi Prabhu Rao — DevOps Engineer

• Over 6 years as a DevOps Engineer, experienced in designing and managing cloud infrastructures across AWS, Azure, and GCP and skilled in leveraging services like EC2, S3, Lambda, RDS, Azure Functions, Compute Engine, Cloud Storage, and Kubernetes • Experienced in setting up and maintaining CI/CD pipelines using Jenkins, Git, and Code Pipeline to automate testing and deployment, reducing time to market and increasing deployment frequency • Adept at deploying applications using Docker for containerization and Kubernetes for orchestration, ensuring scalable and reliable application delivery • Proficient in Git/GitHub for version control, Jenkins/Maven for automated builds and integration, Terraform for infrastructure as code, ensuring streamlined collaboration and optimizing development efficiency • Well-versed in implementing automated testing frameworks like Selenium and JUnit for enhanced code quality, alongside expertly managing and automating configurations using Ansible and Puppet for consistent environments across development, testing, and production • Handson in leveraging Prometheus, Grafana, ELK Stack, Datadog, and New Relic for holistic system monitoring, visualization, and logging, enhancing application visibility and proactive management • Expertise in implementing security best practices and compliance standards across cloud environments, utilizing tools such as AWS Identity and Access Management (IAM), Azure Active Directory (AD), Google Cloud Identity and Access Management (IAM), and Cloud Security Command Center to ensure data protection and regulatory compliance • Strong Knowledge in VMware for virtualized infrastructure management, ServiceNow for ITSM, Python for application development, Bash for shell scripting and automation, and various database tools for efficient data management across SQL and NoSQL databases • Expert in implementing robust security measures using AWS IAM for user access and permissions management, with expertise in data migration strategies and cost optimization techniques • Versatile in optimizing cloud performance, cost-efficiency, and migrating on-premises workloads to the cloud, utilizing services like AWS Auto Scaling, Azure Autoscale, GCP Stack driver Monitoring, AWS Server Migration Service, Azure Migrate, and Google Cloud Anthos for hybrid solutions

Stackforce AI infers this person is a Cloud Infrastructure and DevOps specialist with extensive experience in SaaS environments.

Location: Greater Toronto Area, Canada

Experience: 9 yrs 11 mos